Research Article | Open Access

Evaluation of Advanced Sorghum Lines for Heat Tolerance Under Agro-Ecological Conditions of Dera Ismail Khan, Pakistan

    Iqtidar Hussain

    Department of Agronomy, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan

    Mohammad Inayat Ullah

    Department of Agronomy, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan

    --- Sheheryar

    Project Management Unit, Pakistan Agricultural Research Council, Islamabad, Pakistan

    Muhammad Naeem

    Department of Entomology, Gomal University, Dera Ismail Khan 29220, Pakistan

    Muhammad Mamoon-ur-Rashid

    Department of Entomology, Gomal University, Dera Ismail Khan 29220, Pakistan


Received
18 Feb, 2025
Accepted
10 May, 2025
Published
11 May, 2025

Background and Objective: Sorghum is a vital cereal crop for Pakistan, particularly in arid and semi-arid regions where heat stress is a major challenge for crop production. This study aimed to assess the performance of different sorghum lines under heat stress conditions at the Arid Zone Research Centre, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan. Materials and Methods: The experiment was conducted using a Randomized Complete Block Design (RCBD) having three replications. Ten sorghum lines/varieties were evaluated under heat stress, with key agronomic traits recorded, including plant height, days to 50% heading, leaf area index, leaves/plant, stem girth, maturity days, crop growth rate, grain count per head, head weight, 1000-grain weight, plant biomass, grain yield, and harvest index. Temperature fluctuations and heat stress indices were monitored throughout the study. Data were analyzed using Statistix 8.1 Software through ANOVA, and treatment means were compared using the LSD test at a 0.05 significance level. Results: Significant variation was observed among the sorghum lines. The sorghum line SS 97-2(S1), followed by the variety Dera Jowar, exhibited the highest agronomic and yield-related attributes, making them the most suitable for cultivation under heat-stressed agro-climatic conditions of the arid zone. Conclusion: The study provides valuable insights into the selection of heat-tolerant sorghum varieties, which can enhance productivity in arid and semi-arid regions. While the results indicate promising candidates for heat-stressed environments, further multi-location trials and molecular studies are recommended to validate findings and explore underlying genetic mechanisms for heat tolerance.

Copyright © 2025 Hussain et al. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

INTRODUCTION

Given their sensitivity to changes in temperature, precipitation, and the frequency of natural disasters and occurrences, agricultural systems are particularly vulnerable to climate change. In the meantime, emissions from agriculture and automobiles play a significant role in global warming. Variations in the frequency and intensity of extreme weather events may have an impact on crop growth and development1. The two main components of climate change are higher yearly changes in temperature and rainfall2.

Overall, the effects of climate change have been evident for a while, but their far-reaching effects are now particularly evident in the agricultural sector, which is essential to the World’s economy and food production1,3. To improve agricultural output, agronomic and genetic modifications are required4. In any agro-ecological zone, choosing the right crop variety is crucial to harvesting high-quality produce. Since different cultivars react differently to environmental conditions, it is crucial to find acceptable types of a crop that are compatible with the exposed agro-ecological conditions before introducing it into a new cropping system. Cultivating appropriate kinds based on the soil type, soil moisture, photoperiod, and temperature in a particular place might result in the maximum crop production5. In a climate change scenario, the primary constraint on heat and drought stress is the selection of indigenous cultivars that are suited for production in various agroecological circumstances. The end of the twenty-first century would see a 1.8-4.0°C increase in global surface temperature and a considerable change in global precipitation systems6-8, which would have a major effect on water resources and agriculture4,9. Plant breeders are primarily concerned with yield decline over time and prioritize yield enhancement in conditions of moisture stress2,10. Major variables reducing crop development and production include drought, heat, cold, diseases, and pests11-13. Different environmental factors (such as soil moisture availability) that impact crop plant growth and interact with genotypes are linked to grain yield14-16. As the genetic mechanism responsible for drought control and grain yield under drought conditions is not fully explored17-19, drought resistance in crops is one of the most complex traits to comprehend4. In many nations, this stress is a constant hindrance to agricultural output18,20, and it can also occasionally result in agricultural production losses21-23.

The studies were aimed at evaluating advanced sorghum lines for heat tolerance under the agro-ecological conditions of Dera Ismail Khan. Key physiological and yield-related traits will be assessed to determine heat stress resilience. The findings will aid in identifying heat-tolerant sorghum genotypes for sustainable cultivation.

MATERIALS AND METHODS

Experimental details and crop husbandry: A field experiment was conducted at the Arid Zone Research Center (AZRC), Dera Ismail Khan, KPK, Pakistan, in 2018, using a Randomized Complete Block Design (RCBD) with three replications. The experiment aimed to determine heat stress on sorghum growth and yield under a changing climate. The soil was calcareous with insufficient organic matter, nitrogen, phosphorus, and potassium, making it prone to nutrient deficiencies. The region experiences high temperatures during the summer, with dry spells and storms exacerbating heat stress conditions. The annual rainfall ranges between 200-245 mm, and relative humidity varies from 52 to 79% between June and October.

High-quality seeds (germination >90%) of ten sorghum lines/varieties obtained from AZRC were sown in August, 2018 at a 10 kg/acre seed rate. The rows were spaced at 40 cm, with a plant-to-plant distance of 15 cm. Nutrient application was maintained at 60-60-40 kg NPK/ha at the time of sowing. The agronomic practices, like weeding and pest control, were uniformly applied across all treatments, and heat stress indices were considered in growth and yield analysis.

Procedure to record agronomic parameters: Five plants were randomly selected from each treatment for agronomic observations, and the average values were recorded. Plant height (cm) was measured from the base to the tip, while the total number of green leaves was manually counted. The time to 50% flowering (days) was recorded when half of the panicles had emerged from boot leaves. Maturity time (days) was assessed from sowing until the sorghum spikes changed color and grains hardened enough to break by hand. Stem girth (cm) was measured at three points (base, middle, and upper portion) using a measuring tape.

To incorporate heat stress analysis, leaf temperature and canopy temperature were measured using infrared thermometers at different growth stages.

Procedure to record growth parameters: At the time of flowering, three leaves were selected from each plant, and the area of each leaf was measured manually to compute the leaf area index by using formulae24,25:

The plants, grown in each subplot of the experiment, were removed from an area of a square meter after 30 and 60 days, and were subjected to drying in an oven at 105°C for a whole day and night. After that, the dry weight was calculated using an electric balance. The following formula was used to compute crop growth rate (g/m2/day)25,26:

where, W1 indicates the desiccated plant weight of 30 days, while W2 is the desiccated plant weight of 60 days.

Procedure to record yield and yield contributing parameters: For calculating the weight of head, the central two rows were selected for ear head removal, and subsequent weighing was practiced after the heads were sun-dried and threshed. The grains so obtained were weighed at 15% moisture. In each treatment, five heads were chosen at random and sun dried, threshed, and the grains counted, with an average determined to estimate the number of grains per head. Following threshing, three thousand grain samples were gathered from each sub-plot and weighed on an electric scale to determine the weight of 1000 grains (g). Each sub-whole plot’s head was removed from the plant, sundried, and threshed to obtain grains, which were then weighed to estimate the grain yield (kg/ha) using the following formulae26:

Fifteen plants uprooted from the central two rows were weighed through a spring balance in each treatment to analyze total biomass (kg/ha) production by using the following formula27,28:

Harvest index (%) was calculated by using the formula given as under29:

Statistical analysis: The data was subjected to analysis of variance procedures, and the least significant difference (LSD = 0.05) test was used to distinguish the different treatment means. The data were analyzed using the computer software “Statistix 8.1” to estimate the significant effect of each treatment.

RESULTS

Variability of different sorghum lines based on agronomic attributes: Agronomic parameters provide a crucial means to evaluate the adaptability of different sorghum lines under heat and drought stress conditions in arid regions. The results indicated significant variation in plant height, leaf count, time to 50% flowering, maturity period, and stem girth among the tested sorghum lines.

Fig. 1: Variability in plant height among different
sorghum lines
Similar means in the Figure, accompanied by
analogous letters, are declared as
non-significant at 50% probability

Fig. 2: Number of leaves per plant across different
sorghum lines
Similar means in the Figure, accompanied by
analogous letters, are declared as non-significant
at 50% probability

Under heat and drought stress, taller plants generally indicate a better ability to access deeper soil moisture, enhancing drought tolerance. Sorghum line 1572-T exhibited the tallest plants, suggesting a potential advantage in moisture acquisition. SS-95-4 and S-98-6 also demonstrated promising plant height, whereas 1761 (-A) produced the shortest plants, indicating greater susceptibility to heat and drought stress (Fig. 1). Similarly, a higher number of leaves were observed in 1572-T, which may suggest better photosynthetic potential and resilience to heat stress. SS-98-6 and SS-95-4 also exhibited promising leaf production, while the lowest leaf count was recorded for T-3-DADU (Fig. 2).

The time to 50% flowering is crucial in heat stress conditions, as early flowering can help crops escape the most extreme temperatures. The longest time to 50% heading was observed in line 1692, indicating a prolonged vegetative phase, which may be detrimental under terminal heat stress. Conversely, SS-97-2 (S1) and 1761 (-A) exhibited early panicle emergence, which can be beneficial in avoiding high temperatures during reproductive growth. Similarly, delayed maturity was noted in 1692, while SS-97-2 (S1) reached maturity earlier than other lines, potentially avoiding terminal drought stress (Fig. 3).

Stem girth is an essential trait for structural stability and drought resilience. The maximum stem girth was observed in SS-97-2 (S1), followed by Dera Jowar and S-98-6, suggesting greater robustness under stress conditions. The minimum stem girth recorded in line 1500 indicates potential vulnerability to lodging under high winds and heat stress (Fig. 4).

Fig. 3:

Days to 50% heading and days to maturity for
various sorghum lines
Similar means in the Figure, accompanied by analogous
letters, are declared as non-significant at 50%
probability


Fig. 4: Variation in stem girth among different
sorghum lines

Similar means in the Figure, accompanied by analogous letters, are declared as non-significant at 50% probability

Variability of different sorghum lines on the basis of growth attributes: Growth parameters reflect the physiological response of different sorghum lines to environmental stress. The leaf area index (LAI) and crop growth rate (CGR) are critical for assessing the plant’s ability to capture light energy for photosynthesis and sustain biomass production under heat and drought conditions.

The LAI was measured at the anthesis stage and varied significantly among the sorghum lines. The highest LAI was documented in SS-97-2 (S1), it was followed by the check variety and SS-95-4, indicating superior canopy development and greater capacity to intercept light for photosynthesis. In contrast, T-3-DADU exhibited the lowest LAI, followed by S-98-6, No. 1692, and 1572-T, which suggests reduced leaf expansion due to heat and water limitation (Fig. 5).

The CGR also varied significantly among sorghum lines, reflecting their adaptation to stress conditions. Maximum CGR was observed in the check variety (Dera Jowar), followed by SS-97-2 (S1), indicating better growth performance under elevated temperatures. However, T-3-DADU exhibited the lowest CGR, suggesting limited biomass accumulation under stress conditions (Fig. 6).

Fig. 5: Leaf area index comparison across
sorghum lines
Similar means in the Figure, accompanied
by analogous letters, are declared as
non-significant at 50% probability

Fig. 6: Crop growth rate variability among sorghum
lines
Similar means in the Figure, accompanied by analogous
letters, are declared as non-significant at 50% probability

Table 1: Variability of different sorghum lines based on yield and yield contributing parameters
Treatment HW (g) GPH TGW (g) GY (kg/ha) BM (kg/ha) HI (%)
T1 32.50a 1386.0a 23.460a 3390.3 a 20131a 16.89ab
T2 15.07e 875.7d 17.237d 2376.7d 17078bc 14.02d
T3 4.20i 360.0g 11.657g 429.7h 13806ef 3.08f
T4 7.83h 589.3f 13.263fg 2064.3e 14122def 14.65cd
T5 5.30i 372.7g 14.220ef 646.0g 13359f 4.78f
T6 11.53f 749.0e 15.397e 2263.3d 15442cde 14.66cd
T7 9.91g 626.7f 15.843de 1013.7f 13229f 7.75e
T8 20.58d 1074.3c 19.177c 2756.0c 15876bcd 17.42a
T9 29.36b 1359.0a 21.627b 2955.0b 19513a 15.20bcd
Variability of different sorghum lines based on yield and yield contributing parameters. T: Treatment, T1: SS 97-2, T2: No. 1761 (-A), T3: No. 1500, T4: No.1692, T5: T-3-DADU, T6: 1572-T, T7: S-98-6, T8: SS-95-4, T9: Dera Jowar, T10: No. 1542. HW: Head weight, GPH: Grain per head, TGW: Thousand grain weight, GY: Grain yield, HI: Harvest index, BM: Biomass, Similar means portrayed in the table, accompanied by analogous letters, are declared non-significant at 5% level of probability

Variability of sorghum lines on the basis of yield and yield-contributing parameters: Yield-contributing parameters are essential in selecting stress-tolerant lines for sustainable grain production under heat and drought stress. The analysis showed significant differences in head weight, number of grains/head, thousand-grain weight, grain yield, biomass, and harvest index (HI) among the sorghum lines.

The highest head weight was observed in SS-97-2 (S1), followed by the check variety, whereas the lowest head weight was recorded for lines 1500 and T-3-DADU (Table 1). This suggests that SS-97-2 (S1) and Dera Jowar are more resilient to heat stress, maintaining head development despite adverse conditions.

The number of grains/head, thousand grain weight, and grain yield (kg/ha) were highest in SS-97-2 (S1), followed closely by the check variety, indicating their superior reproductive success under high temperatures. Line 1500 recorded the lowest grain number, highlighting its sensitivity to heat stress. Maximum biomass was observed in SS-97-2 (20131 kg/ha) and the check variety (19513 kg/ha), followed by lines 1542 and 1761 (-A). Conversely, S-98-6 recorded the lowest biomass (13359 kg/ha), indicating its lower adaptability to stress conditions.

Interestingly, the highest H.I. was recorded in T-3-DADU and S-98-4, followed by the check varieties 1572-T and 1692. However, the lowest HI was also observed in T-3-DADU and S-98-4 (Table 1), suggesting inconsistencies in their ability to partition biomass into grain yield.

DISCUSSION

The successful production of the crop is based on the performance triangle of genetics, environment, and physiology. The enhancement of economic return, even under suboptimal environments, through genetic improvements remains the primary focus of producers and breeders. El Naim et al.30 documented that profound differences were seen in yield, height, and maturity under variegated environmental conditions. Similarly, Rocateli et al.31 uncovered that sorghum cultivars provided maximum economic returns when exhibiting stable performance in specific agricultural conditions. In this study, the different sorghum lines exhibited variation in plant height, which may be due to their genetic background and environmental adaptability, particularly to heat and drought stress. Ashraf32 and Fahad et al.33 also supported the findings that variations in different sorghum lines are based on their hereditary traits and local adaptability. Besides plant height variation, the genetic variability among the sorghum lines also exhibited differences in the number of leaves34. The genotype SS 97-2 (S1) demonstrated strong resistance to arid conditions, maximizing its genetic potential to produce a higher number of leaves despite heat stress. Chughtai et al.35 and Awori et al.36 reported a prominent difference in leaf count per plant, stating that variations in genetic makeup led to significant disparities in the number of leaves per plant. The number of days to 50% flowering varies significantly between sorghum cultivars, a factor influenced by temperature stress11. Similarly, Meki et al.37 observed significant variability in days to 50% heading among several sorghum lines.

The time to maturity of a plant determines its life span, indicating whether the genotype is long or short in duration. However, climate and environmental factors, particularly heat stress, can accelerate or delay maturity. If environmental variation is not a limiting factor, the line that achieved 50% blooming in the shortest time also exhibited quicker physiological development than other genotypes. Our findings align with those of Udayashankara et al.1, who found that EDO inbred lines matured earlier than commercial checks. The study also revealed that lines SS 97-2 (S1), Dera Jowar (check variety), and S-98-6 had the thickest stem girth, which can be attributed to genetic potential and higher nutrient absorption capabilities, allowing for thicker stems even under drought and heat stress38,39.

The leaf area index (LAI) of the highest-yielding cultivars was relatively high, demonstrating that they efficiently utilized available light and water resources to maximize grain production40. The highest crop growth rate (CGR) observed in certain lines may be attributed to their genetic potential and environmental adaptability. Current findings are comparable to those of Gavuzzi et al.41, who found that crop growth rate was strongly associated with higher dry matter accumulation under variable climatic conditions. The ability of a sorghum line to sustain biomass production under heat and drought stress is indicative of its tolerance mechanisms. The highest head weight observed in some genotypes suggests that they maintained efficient photosynthetic activity and effective assimilate partitioning, leading to enhanced grain filling. Other studies by Crespo-Herrera et al.42 and Shafi et al.43 observed similar findings, reporting a significant correlation between head weight and sorghum grain yield. Furthermore, the photosynthetic efficiency of some lines resulted in heavier grains, highlighting their ability to transport more assimilates from source to sink under heat stress conditions44.

The lower grain yields recorded in lines No. 1500 and T-3-DADU indicate a weaker genetic constitution and reduced photosynthetic efficiency, as these lines struggled to convert assimilates into economic yield (grain yield). Head length, 1000-grain weight, and fertility percentage are critical yield-contributing factors, as highlighted by another study45. According to Abreha et al.46, yield variation among sorghum genotypes may be influenced by multiple factors, including soil nutrient availability and water uptake efficiency, both of which are crucial under heat and drought stress. The highest biomass production observed in SS 97-2 (S1) and the check variety suggests that these lines exhibited superior physiological traits and resilience to environmental stress25. Moreover, the highest harvest index (HI) observed in T-3-DADU and S-98-4 indicates their efficiency in partitioning biomass toward grain production, a crucial trait for heat and drought tolerance39.

In terms of overall yield performance, genotypic variability played a crucial role in determining the adaptability of different sorghum lines to heat and drought stress. Another study of Bello et al.34 identified promising genotypes based on traits such as panicle length, leaf area, and earliness, which are also critical factors for drought resilience. Previous studies observed 20-25% yield variations between local and advanced cultivars, emphasizing the role of genetic improvement in enhancing stress tolerance47-50. Fischer and Edmeades51 also documented significant genetic variability among sorghum cultivars, highlighting the potential for breeding heat and drought-tolerant varieties. Traits such as dry fodder yield, stem girth, and panicle length exhibited high heritability, supporting the findings of this study that these parameters contribute to sorghum resilience under stress conditions. Similarly, Adetokunbo et al.5 found that planting date adjustments under variable environments significantly impacted plant attributes, further supporting the role of environmental adaptation in sorghum performance. Vasilakoglou et al.52 demonstrated significant genotypic and phenotypic variations in panicle length, grains per panicle, and plant height, all of which contribute to drought and heat tolerance. Other studies concluded that environmental factors have the most significant impact on sorghum performance, with genetic factors also playing a role39,45,46. Abreha et al.46 reported considerable variation in sorghum genotypes regarding agronomic traits, indicating that different cultivars exhibit varied responses to environmental stressors.

Overall, this study highlights the importance of genetic variation in determining the resilience of sorghum lines to heat and drought stress. The findings emphasize the need for targeted breeding programs to develop sorghum cultivars that can withstand extreme climatic conditions while maintaining high yield potential.

CONCLUSION

This study evaluated the performance of different sorghum lines under heat and drought stress conditions in an arid environment. Significant variability was observed in agronomic, growth, and yield-related traits among the tested lines. SS-97-2 (S1) and the check variety, Dera Jowar, exhibited superior adaptability, higher biomass production, and enhanced grain yield, making them the most suitable candidates for cultivation in heat-stressed regions. Traits such as early flowering, higher leaf area index, and robust stem girth were found to be crucial for heat tolerance and productivity. The findings highlight the importance of selecting resilient genotypes to mitigate the adverse effects of climate change on sorghum production. Future research should focus on the genetic mechanisms underlying heat and drought tolerance and explore breeding strategies to develop climate-resilient sorghum varieties. Additionally, integrating molecular and physiological approaches can further enhance selection efficiency and improve crop sustainability under extreme climatic conditions.

SIGNIFICANCE STATEMENT

This study discovered the potential of SS-97-2 (S1) and Dera Jowar as heat and drought-tolerant sorghum varieties that can be beneficial for improving crop resilience and productivity in arid and semi-arid regions. The outcomes of this study will help to discover the critical areas of genotype-environment interactions and stress adaptation mechanisms that are not fully explored. Thus, a new theory on climate-resilient sorghum breeding may be arrived at.

REFERENCES

  1. Udayashankara, T.H., B.M.S. Murthy and M. Madhukar, 2016. Impact of climate change on rainfall pattern and reservoir level. J. Water Resour. Eng. Manage., 3: 10-14.
  2. Kholova, J., G. McLean, V. Vadez, P. Craufurd and G.L. Hammer, 2013. Drought stress characterization of post-rainy season (rabi) sorghum in India. Field Crops Res., 141: 36-48.
  3. Anwar, J., M.H. Tanveer, Abdullah, W. Sabir, J. Ahmad and M. Saleem, 2019. A new high yielding durable rust resistant variety named Galaxy-2013 for the irrigated areas of Punjab, Pakistan. Acad. J. Agric. Res., 7: 71-79.
  4. Ajalli, J. and M. Salehi, 2012. Evaluation of drought stress indices in barley (Hordeum vulgare L.). Ann. Biol. Res., 3: 5515-5520.
  5. Adetokunbo, A.D., A.S. Esla, I. Esther, O.E. Glory and A.S. Ebun, 2019. Correlation between oil content and yield of some early maturing soybean (Glycine max (L.) Merill) genotypes in Keffi, Nasarawa State. Int. J. Environ. Agric. Biotechnol., 4: 720-726.
  6. Khan, H., H.M. Mamrutha, C.N. Mishra, G. Krishnappa and R. Sendhil et al., 2023. Harnessing high yield potential in wheat (Triticum aestivum L.) under climate change scenario. Plants, 12.
  7. Mohammadi, R., M. Armion, D. Kahrizi and A. Amri, 2010. Efficiency of screening techniques for evaluating durum wheat genotypes under mild drought conditions. Int. J. Plant Prod., 4: 11-24.
  8. Abd El-Raouf, M.S.A., E.M.A. El-Metwally and A.A.B. Elddin, 2013. Performance of some grain sorghum (Sorghum bicolor L. Moench) genotypes under different sowing dates in Egypt. J. Plant Prod., 4: 763-772.
  9. Nazari, L. and H. Pakniyat, 2010. Assessment of drought tolerance in barley genotypes. J. Appl. Sci., 10: 151-156.
  10. Sogbohossou, E.O.D., E.G. Achigan-Dako, P. Maundu, S. Solberg and E.M.S. Deguenon et al., 2018. A roadmap for breeding orphan leafy vegetable species: A case study of Gynandropsis gynandra (Cleomaceae). Hortic. Res., 5.
  11. Akçura, M., F. Partigoç and Y. Kaya, 2011. Evaluating of drought stress tolerance based on selection indices in Turkish bread wheat landraces. J. Anim. Plant Sci., 21: 700-709.
  12. Ezzat, E.M., M.A. Ali and A.M. Mahmoud, 2010. Agronomic performance, genotype X environment interactions and stability analysis of grain sorghum (Sorghum bicolor L. Moench). Asian J. Crop Sci., 2: 250-260.
  13. Ranjbar, G.H., H. Ghadiri, F. Razzaghi, A.R. Sepaskhah and M. Edalat, 2015. Evaluation of the SALTMED model for sorghum under saline conditions in an arid region. Int. J. Plant Prod., 9: 373-392.
  14. Chaudhary, S., P. Devi, A. Bhardwaj, U.C. Jha and K.D. Sharma et al., 2020. Identification and characterization of contrasting genotypes/cultivars for developing heat tolerance in agricultural crops: Current status and prospects. Front. Plant Sci., 11.
  15. Maposa, D., E. Mudimu and O. Ngwenya, 2010. A multivariate analysis of variance (MANOVA) of the performance of sorghum lines in different agro-ecological regions of Zimbabwe. Afr. J. Agric. Res., 5: 196-203.
  16. Motha, R.P., 2011. The Impact of Extreme Weather Events on Agriculture in the United States. In: Challenges and opportunities in agrometeorology, Attri, S.D., L.S. Rathore, M.V.K. Sivakumar and S.K. Dash (Eds.), Springer, Berlin, Heidelberg, ISBN: 978-3-642-19360-6, pp: 397-407.
  17. Ghosh, S.C., S. Akram, S.M. Ahsan, A. Al Asif and S. Shahriyar, 2015. Morpho-physiological and yield performance of grain sorghum genotypes. Asian J. Med. Biol. Res., 1: 271-284.
  18. Giancarla, V., E. Madosa, S. Ciulca, C. Adriana, P. Cerasela and B. Nicoleta, 2010. Assessment of drought tolerance in some barley genotypes cultivated in West part of Romania. J. Hortic. For. Biotechnol., 14: 114-118.
  19. Warkad, Y.N., N.R. Potdukhe, A.M. Dethe, P.A. Kahate and R.R. Kotgire, 2008. Genetic variability, heritability and genetic advance for quantitative traits in sorghum germplasm. Agric. Sci. Dig., 28: 165-169.
  20. Subhani, G.M., Abdullah, J. Ahmad, J. Anwar, M. Hussain and A. Mahmood, 2015. Identification of drought tolerant genotypes of barley (Hordeum vulgare L.) through stress tolerance indices. J. Anim. Plant Sci., 25: 686-692.
  21. Craufurd, P.Q., V. Mahalakshmi, F.R. Bidinger, S.Z. Mukuru and J. Chantereau et al., 1999. Adaptation of sorghum: Characterisation of genotypic flowering responses to temperature and photoperiod. Theor. Appl. Genet., 99: 900-911.
  22. Traore, K., J.B. Aune and B. Traore, 2016. Effect of organic manure to improve sorghum productivity in flood recession farming in Yelimane, Western Mali. Am. Sci. Res. J. Eng. Technol. Sci., 23: 232-251.
  23. Yang, X., C. Chen, Q. Luo, L. Li and Q. Yu, 2011. Climate change effects on wheat yield and water use in oasis cropland. Int. J. Plant Prod., 5: 83-94.
  24. Anwar, S., W.A. Khattak, Inamullah, M. Islam, S. Bashir, M. Shafi and J. Bakht, 2015. Effect of sowing dates and seed rates on the agro-physiological traits of wheat. J. Environ. Earth Sci., 5: 135-141.
  25. Li, D., 2018. The Plant Functional Traits of Arid and Semiarid Grassland Plants Under Warming and Precipitation Change. In: Plant Growth and Regulation-Alterations to Sustain Unfavorable Conditions, Ratnadewi, D. and Hamim (Eds.), IntechOpen, United Kingdom, ISBN: 978-1-78984-286-9.
  26. Farshadfar, E. and J. Sutka, 2002. Screening drought tolerance criteria in maize. Acta Agron. Hung., 50: 411-416.
  27. Karamanos, A.J., G. Economou, A. Papastavrou and I.S. Travlos, 2012. Screening of greek wheat landraces for their yield responses under arid conditions. Int. J. Plant Prod., 6: 225-238.
  28. Menkir, A., 2003. Selection for grain yield in sorghum under moisture and nutrient stress environments. Afr. Crop Sci. J., 11: 55-64.
  29. Lamptey, S., G. Nyarko, A. Falon and S. Yeboah, 2014. Assessing the performance of sorghum varieties in the Guinea Savanna Zone of Ghana. Asian J. Agric. Food Sci., 2: 64-72.
  30. El Naim, A.M., I.M. Ibrahim, M.E.A. Rahman and E.A. Ibrahim, 2012. Evaluation of some local sorghum (Sorghum bicolor L. Moench) genotypes in rain-fed. Int. J. Plant Res., 2: 15-20.
  31. Rocateli, A.C., R.L. Raper, K.S. Balkcom, F.J. Arriaga and D.I. Bransby, 2012. Biomass sorghum production and components under different irrigation/tillage systems for the Southeastern U.S. Ind. Crops Prod., 36: 589-598.
  32. Ashraf, M., 2010. Inducing drought tolerance in plants: Recent advances. Biotechnol. Adv., 28: 169-183.
  33. Fahad, S., A.A. Bajwa, U. Nazir, S.A. Anjum and A. Farooq et al., 2017. Crop production under drought and heat stress: Plant responses and management options. Front. Plant Sci., 8.
  34. Bello, D., A.M. Kadams, S.Y. Simon and D.S. Mashi, 2007. Studies on genetic variability in cultivated sorghum (Sorghum bicolor L. Moench) cultivars of Adamawa State Nigeria. Am.-Eurasian J. Agric. Environ. Sci., 2: 297-302.
  35. Chughtai, S., J. Fateh, M. Munawwar and M. Hussain, 2007. Participatory sorghum varietal evaluation and selection in Pakistan. Acta Agron. Hung., 55: 19-26.
  36. Awori, E., M. Kiryowa, A. Basirika, F. Dradiku and R. Kahunza et al., 2015. Performance of elite grain sorghum varieties in the West Nile Agro-ecological Zones. Uganda J. Agric. Sci., 16: 139-148.
  37. Meki, M.N., J.L. Snider, J.R. Kiniry, R.L. Raper and A.C. Rocateli, 2013. Energy sorghum biomass harvest thresholds and tillage effects on soil organic carbon and bulk density. Ind. Crops Prod., 43: 172-182.
  38. Mitra, J., 2001. Genetics and genetic improvement of drought resistance in crop plants. Curr. Sci., 80: 758-763.
  39. Yosef, E., A. Carmi, M. Nikbachat, A. Zenou, N. Umiel and J. Miron, 2009. Characteristics of tall versus short-type varieties of forage sorghum grown under two irrigation levels, for summer and subsequent fall harvests, and digestibility by sheep of their silages. Anim. Feed Sci. Technol., 152: 1-11.
  40. Hoffman, G.J., R.G. Evans, M.E. Jensen, D.L. Martin and R.L. Elliott, 2007. Design and Operation of Farm Irrigation Systems. 2nd Edn., American Society of Agricultural and Biological Engineers, St. Joseph, MI, USA, ISBN: 9781892769640, Pages: 863.
  41. Gavuzzi, P., F. Rizza, M. Palumbo, R.G. Campanile, G.L. Ricciardi and B. Borghi, 1997. Evaluation of field and laboratory predictors of drought and heat tolerance in winter cereals. Can. J. Plant Sci., 77: 523-531.
  42. Crespo-Herrera, L.A., J. Crossa, J. Huerta-Espino, E. Autrique and S. Mondal et al., 2017. Genetic yield gains In CIMMYT's international elite spring wheat yield trials by modeling the genotype × environment interaction. Crop Sci., 57: 789-801.
  43. Shafi, S., A. Zaffar, I. Riyaz, A.B. Shikari and S. Najeeb et al., 2024. Differential drought responses in deep and shallow-rooted rice genotypes: Enzymatic and non-enzymatic insights. Plant Physiol. Rep., 29: 294-307.
  44. Akinnagbe, O.M. and I.J. Irohibe, 2014. Agricultural adaptation strategies to climate change impacts in Africa: A review. Bangladesh J. Agric. Res., 39: 407-418.
  45. Maredia, M.K., D. Byerlee and P. Pee, 2000. Impacts of food crop improvement research: Evidence from Sub-Saharan Africa. Food Policy, 25: 531-559.
  46. Abreha, K.B., M. Enyew, A.S. Carlsson, R.R. Vetukuri and T. Feyissa et al., 2022. Sorghum in dryland: Morphological, physiological, and molecular responses of sorghum under drought stress. Planta, 255.
  47. Blanc, E., 2012. The impact of climate change on crop yields in Sub-Saharan Africa. Am. J. Clim. Change, 1: 1-13.
  48. Breman, H., B. Fofana and A. Mando, 2008. The Lesson of Drente's “Essen”: Soil Nutrient Depletion in Sub-Saharan Africa and Management Strategies for Soil Replenishment. In: Land Use and Soil Resources, Braimoh, A.K. and P.L.G. Vlek (Eds.), Springer, Dordrecht, Netherlands, ISBN: 978-1-4020-6778-5, pp: 145-166.
  49. Chapman, S.C., S. Chakraborty, M.F. Dreccer and S.M. Howden, 2012. Plant adaptation to climate change-opportunities and priorities in breeding. Crop Pasture Sci., 63: 251-268.
  50. Ayub, M., M.A. Nadeem, M. Tahir, A. Ghafoor, Z. Ahmed and M. Naeem, 2010. Comparative studies on the growth, forage yield and quality of sorgum (Sorghum Bicolor l.) varieties under irrigated conditions of Faisalabad. Pak. J. Life Soc. Sci., 8: 94-97.
  51. Fischer, R.A.T. and G.O. Edmeades, 2010. Breeding and cereal yield progress. Crop Sci., 50: S85-S98.
  52. Vasilakoglou, I., K. Dhima, N. Karagiannidis and T. Gatsis, 2011. Sweet sorghum productivity for biofuels under increased soil salinity and reduced irrigation. Field Crops Res., 120: 38-46.

How to Cite this paper?


APA-7 Style
Hussain, I., Ullah, M.I., Sheheryar, Naeem, M., Mamoon-ur-Rashid, M. (2025). Evaluation of Advanced Sorghum Lines for Heat Tolerance Under Agro-Ecological Conditions of Dera Ismail Khan, Pakistan. Research Journal of Phytochemistry, 19(1), 19-29. https://doi.org/10.3923/rjp.2025.19.29

ACS Style
Hussain, I.; Ullah, M.I.; Sheheryar; Naeem, M.; Mamoon-ur-Rashid, M. Evaluation of Advanced Sorghum Lines for Heat Tolerance Under Agro-Ecological Conditions of Dera Ismail Khan, Pakistan. Res. J. Phytochem 2025, 19, 19-29. https://doi.org/10.3923/rjp.2025.19.29

AMA Style
Hussain I, Ullah MI, Sheheryar, Naeem M, Mamoon-ur-Rashid M. Evaluation of Advanced Sorghum Lines for Heat Tolerance Under Agro-Ecological Conditions of Dera Ismail Khan, Pakistan. Research Journal of Phytochemistry. 2025; 19(1): 19-29. https://doi.org/10.3923/rjp.2025.19.29

Chicago/Turabian Style
Hussain, Iqtidar, Mohammad Inayat Ullah, Sheheryar, Muhammad Naeem, and Muhammad Mamoon-ur-Rashid. 2025. "Evaluation of Advanced Sorghum Lines for Heat Tolerance Under Agro-Ecological Conditions of Dera Ismail Khan, Pakistan" Research Journal of Phytochemistry 19, no. 1: 19-29. https://doi.org/10.3923/rjp.2025.19.29