Deciphering the Role of Stay-Green Trait to Mitigate Terminal Heat Stress in Bread Wheat

Latif, Sadia; Wang, Liping; Khan, Jahangir; Ali, Zeshan; Sehgal, Sunish K.; Babar, Ali; Wang, Jianping; Quraishi, Umar Masood

doi:10.3390/agronomy10071001

Cited by 15 publications

(8 citation statements)

References 83 publications

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“…7). Similar findings were reported by Latif et al (2020), which confirmed that genotypes exhibiting the SG trait have significantly elevated chlorophyll content, normalised difference vegetative index, grain yield, biological yield, kernel weight, and low canopy temperature under control and heat stress conditions.…”

Section: Discussionsupporting

confidence: 87%

Characterisation and evaluation of wheat genetic resources for heat stress tolerance using stay-green traits

Soni

Munjal

2023

Crop & Pasture Science

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Context Post-anthesis heat stress is a major concern for wheat. Stay-green (SG) can serve as a crucial marker for plant adaptation to it. Though genetic resources provide an invaluable gene pool for crop breeding, collections are still uncharacterised and their potential is yet to be explored. Aims This study was planned to characterise and evaluate wheat genetic resources, including wild germplasm, for heat stress tolerance using SG traits as selection criteria. Methods Experiment was conducted with thirty wheat genotypes under late and very late sown environments for 2 years. Genotypes were assessed for SG traits like Normalised Difference Vegetation Index (NDVI), Soil Plant Analysis Development Chlorophyll Meter Reading (SCMR), Leaf Senescence Rate (LSR), chlorophyll fluorescence (Fv/Fm), canopy temperature (CT), phenological traits, morphological traits, yield and its attributes; and characterised into three categories viz., slow senescing, intermediate senescing and fast senescing, based on their rate of senescence. Key results Results indicate that slow-senescing genotypes had a significantly higher NDVI, SCMR and yield as compared to fast-senescing genotypes. NDVI, SCMR, Fv/Fm, days to heading, days to anthesis, days to maturity, grain weight per spike, 100-grain weight and biomass were significantly positively correlated whereas LSR and CT were significantly negatively correlated with grain yield. From the principal component analysis studies, it was revealed that genotypes with a high SCMR, a low LSR, and a high grain yield were placed together as SG genotypes. Conclusions This study confirms that genotypes with SG traits performed better under heat stress. Implications From the wild, genotypes HTW 11 (W), HTW 67 (W) and HTW 6 (W) can be utilised for heat tolerance breedings.

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Section: Discussionsupporting

confidence: 87%

Characterisation and evaluation of wheat genetic resources for heat stress tolerance using stay-green traits

Soni

Munjal

2023

Crop & Pasture Science

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“…Yellow rust and heat stress adversatively impact the productivity of bread wheat in particular under increasing adverse environmental conditions and abrupt climate change ( Latif et al., 2020 ; Martínez-Moreno et al., 2022 ). Several previous studies explored rust resistance, heat tolerance, agronomic performance, and yield adaptability of wheat genotypes severally.…”

Section: Discussionmentioning

confidence: 99%

Assessing performance and stability of yellow rust resistance, heat tolerance, and agronomic performance in diverse bread wheat genotypes for enhancing resilience to climate change under Egyptian conditions

et al. 2022

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Yellow rust and heat stress adversatively impact the growth and production of bread wheat in particular under rising adverse environmental conditions. Stability of grain yield is a pivotal purpose of plant breeders to improve wheat production and ensure global food security especially under abrupt climate change. The objective of this study was to assess the performance and stability of diverse bread wheat genotypes for yellow rust resistance, heat stress, and yield traits. The studied genotypes were evaluated in two different locations under two sowing dates (timely and late sowing) during two growing seasons. The obtained results displayed significant differences among the tested locations, sowing dates, and genotypes for most measured traits. The yellow rust measurements evaluated under the field conditions including final rust severity (FRS), the average coefficient of infection (ACI), and area under disease progress curve (AUDPC) revealed that Giza-171, Misr-1, Gemmeiza-12, Shandweel-1, Sids-13, Line-1, Line-2, and Line-55 had better resistance. Based on heat sensitivity measurements, Line-1 and Line-2 followed by Line-35, Shandweel-1 and Line-55 were classified as more tolerant to heat stress compared with the remaining genotypes. The genotypes Line-55, Gemmeiza-12, Giza-171, Line-1, Line-2, and Misr-1 were able to maintain acceptable agronomic performance under timely and late sowing dates in all evaluated environments. Different statistical procedures were employed to explore the adaptability and stability of tested genotypes i.e., joint regression, stratified ranking, Wricke's Ecovalence values, cultivar superiority, additive main effects, and multiplicative interaction (AMMI), AMMI stability value, and genotype plus genotype-by-environment interaction (GGE). The applied stability parameters were quite similar for describing the stability of the evaluated wheat genotypes. The results indicated that Gemmeiza-12, Giza-171, Sids-12, Sids-13, Misr-1 Shandweel-1, Line-1, Line-2, and Line-55 were desirable and stable. The heatmap and hierarchical clustering were exploited for dividing the evaluated bread wheat genotypes into different clusters based on yellow rust resistance measurements, heat tolerance indices, and agronomic performance. Line-1 and Line-2 had the best performance for all rust resistance, heat tolerance, and agronomic performance followed by Giza-171, Line-55, Line-35, Gemmeiza-12, Shandweel-1, Misr-1, and Sids-13. In conclusion, our findings provide evidence of utilizing promising genotypes in rust resistance, heat tolerance, and agronomic performance in breeding programs for improving wheat grain yield stability mainly under climate change.

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“…In the case of Coria trials, even if planted at a normal date, represented a warmer scenario in than the other two locations. For conditions of elevated temperatures during the grain filling, represented by both late planting and Coria, the delay of senescence, assessed by the greener VIs was the main trait defining yield, indicating the stay-green ability as mitigation strategy for the harmful aspects of terminal heat ( Latif et al., 2020 ). However, in general, the prediction models performed poorer for the environments with short cycles (i.e., late planting, or Coria) compared with the normal planting, suggesting the speed of the phenological development represented a limitation for an efficient assessment of the remote sensing traits.…”

Section: Discussionmentioning

confidence: 99%

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

Gracia-Romero,

Vatter,

Kefauver

et al. 2023

Front. Plant Sci.

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An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post–green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red–green–blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature.

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Deciphering the Role of Stay-Green Trait to Mitigate Terminal Heat Stress in Bread Wheat

Cited by 15 publications

References 83 publications

Characterisation and evaluation of wheat genetic resources for heat stress tolerance using stay-green traits

Characterisation and evaluation of wheat genetic resources for heat stress tolerance using stay-green traits

Assessing performance and stability of yellow rust resistance, heat tolerance, and agronomic performance in diverse bread wheat genotypes for enhancing resilience to climate change under Egyptian conditions

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

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