The importance of slow canopy wilting in drought tolerance in soybean

Ye, Heng; Song, Li; Schapaugh, William T.; Ali, Liakat; Sinclair, Thomas R.; Riar, Mandeep K.; Mutava, Raymond N.; Li, Yang; Vuong, Tri D.; Valliyodan, Babu; Neto, Antônio Pizolato; Klepadlo, Mariola; Song, Qijian; Shannon, J. Grover; Chen, Pengyin; Nguyen, Henry T.

doi:10.1093/jxb/erz150

Cited by 54 publications

(44 citation statements)

References 32 publications

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“…Recent studies have shown some understanding of the underlying genetic architecture of the slow-wilting phenotype. Quantitative trait loci (QTLs) have been identified for canopy wilting ( Abdel-Haleem et al, 2012 ; Ye et al, 2020 ) and it has been concluded that it is a polygenic trait ( Charlson et al, 2009 ). A recent study by Kaler et al (2017) has identified SNPs associated with canopy-wilting that are located within or close to genes with connections to transpiration or water transport.…”

Section: Discussionmentioning

confidence: 99%

Transpiration Rate of White Clover (Trifolium repens L.) Cultivars in Drying Soil

et al. 2021

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Determining the performance of white clover cultivars under drought conditions is critical in dry climates. However, comparing the differences in cultivar performance requires equivalent soil water content for all plants, to reduce the water deficit threshold eliciting stomatal closure. In this study, the objective was to compare the rate of stomatal closure in eighty white clover cultivars in response to soil drying. Two glasshouse experiments were conducted, and the daily transpiration rate was measured by weighing each pot. The transpiration rate of the drought-stressed plants were normalized against the control plants to minimize effects from transpiration fluctuations and was recorded as the normalized transpiration rate (NTR). The daily soil water content was expressed as the fraction of transpirable soil water (FTSW). The FTSW threshold (FTSWc) was estimated after which the NTR decreases linearly. The FTSWc marks the critical point where the stomata start to close, and transpiration decreases linearly. The significant difference (p < 0.05) between the 10 cultivars with the highest and lowest FTSWc demonstrates the cultivars would perform better in short- or long-term droughts.

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Section: Discussionmentioning

confidence: 99%

Transpiration Rate of White Clover (Trifolium repens L.) Cultivars in Drying Soil

et al. 2021

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“…Using multiparental or highly diverse populations, it is possible to identify significant loci associated with yield stability or canopy wilting (Kaler et al., 2017; Xavier et al., 2019; Ye et al., 2020). In this work, seven QTL associated with YSI were found using a small breeding population, the norm in low‐budget breeding programs.…”

Section: Discussionmentioning

confidence: 99%

“…Due to the drought tolerance complexity, most breeders are still using total yield, yield stability (Giordani et al., 2019), or traits that have been associated with yield stability, such as canopy wilting (Ye et al., 2020) and root structure (Pantalone et al., 1996; Prince et al., 2015), as an indirect selection for drought tolerance. To evaluate yield stability, several authors have developed drought susceptibility indices (DSIs), based on a regression coefficient between contrasting environments (i.e., irrigated vs. nonirrigated conditions) (Clarke et al., 1992; Fischer & Maurer, 1978 ).…”

Section: Introductionmentioning

confidence: 99%

An integrative analysis of yield stability for a GWAS in a small soybean breeding population

et al. 2021

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Drought stress is one of the most important factors limiting soybean [Glycine max (L.) Merr.] productivity and reducing yield stability. Soybean breeders need phenotypic and genotypic tools to improve drought stress tolerance, but most of available strategies are expensive and unaffordable for small‐scale public breeding programs. In this study, elite germplasm of a locally adapted breeding population was used to estimate a yield stability index as an indicator of drought response. In order to associate yield stability of analyzed genotypes to drought response, water deficit scenarios related to the crop cycle group were defined. Four groups of genotypes were identified in relation to yield stability: two groups showed stables yield (without interaction with water deficit scenarios), and two groups showed unstable yield (with crossover interaction with water deficit scenarios). This phenotypic information was used to identify genomic regions and candidate genes associated with yield stability index. A new method for the definition of a quantitative trait loci (QTL) region was developed based on the probability of marker pairwise of belonging to four linkage disequilibrium (LD) categories. Seven QTL were found and their implication on drought tolerance was further supported by linkage to previously reported QTL for water use efficiency trait.

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“…By changing the leaf inclination, the plant can reduce the incident radiation, and hence the leaf surface temperature, the leaf transpiration, but also photosynthetic activity, and shading of basal leaves. For this reason, studies of wilting processes on whole plants or excised leaves have been widely carried out for the development of more abiotic-stress-tolerant crops, at the field scale and indoors [ 5 , 6 , 7 , 8 , 9 ]. The controlled environment has the advantage of allowing better control and reproducibility of experimental conditions, because the wilting symptoms can change with stress type and species, and also leaf age.…”

Section: Introductionmentioning

confidence: 99%

“…Differential wilting has been traditionally estimated by visual scoring and quantified by arbitrary scales [ 5 , 6 , 7 ], but this method is affected by the subjective interference of the analyst. Innovative, phenotyping technologies are now available like: RGB visible, infrared, fluorescence, or thermal imaging [ 12 , 13 ], which were originally established in remote sensing and in precision agriculture.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Method for Phenotyping Wilting and Recovery of Wheat Leaves under Heat Stress Using Semi-Automated Image Analysis

Rascio

Santis

Sorrentino

2020

Plants

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Leaf wilting is the most common symptom of dehydration stress. Methods to analyze this phenomenon are particularly relevant to evaluate crop agronomic performance, to genetically dissect out the wilting process, and for functional analysis of genetically modified plants. In this study, a low-cost, semi-automated method to quantify leaf folding of wilting plants is described that can replace visual analysis. Standardized heat-stress conditions were applied with a thermostatic drier, on plantlets or excised leaves from three wheat genotypes (Trinakria, Cappelli, and a Water-mutant of Trinakria). The best time–temperature binomial to record both the leaf wilting and recovery phases was identified using a free time-lapse application, by a smartphone camera. The quantitative description of the wilting phenomenon was obtained through the Kinovea software, which automatically tracked the leaf angle changes over time, computed various kinematic data (angular velocity, centripetal acceleration, total degrees of displacement) and constructed the graphs. The possibility of applying standardized heat-stress conditions and quantitatively describe the leaf folding kinematics means that this instrumentation and its use represents a very low cost tool for objective phenotyping of the degree of the heat-stress tolerance of wheat and of morphologically similar species.

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The importance of slow canopy wilting in drought tolerance in soybean

Abstract: Physiological mechanisms of slow canopy wilting in early maturity group soybeans were identified and the underlying QTLs were mapped and confirmed to protect soybean yield under drought in the field.

Cited by 54 publications

References 32 publications

Transpiration Rate of White Clover (Trifolium repens L.) Cultivars in Drying Soil

Transpiration Rate of White Clover (Trifolium repens L.) Cultivars in Drying Soil

An integrative analysis of yield stability for a GWAS in a small soybean breeding population

A Low-Cost Method for Phenotyping Wilting and Recovery of Wheat Leaves under Heat Stress Using Semi-Automated Image Analysis

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