Phenotyping of faba beans (Vicia faba L.) under cold and heat stresses using chlorophyll fluorescence

Zhou, Rong; Hyldgaard, Benita; Yu, Xiaqing; Rosenqvist, Eva; Ugarte, Rosina Magaña; Yu, Shanxiang; Wu, Zhiyong; Ottosen, Carl‐Otto; Zhao, Tongmin

doi:10.1007/s10681-018-2154-y

Cited by 57 publications

(42 citation statements)

References 37 publications

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“…Transgenic wheat lines also were improved by having more osmoprotectant through transferring a mannitol biosynthesis (mtlD) gene from Escherichia coli [205]. The wheat transgenic lines showed high tolerance to salt and drought stresses by TaERF3 -overexpression [206] and significantly higher yield by transforming TaDREB3 from ‘Bobwhite’ [207]. Overexpressing TaDREB2 and TaDREB3 in barley transgenic lines had increased drought tolerance through protecting cells from desiccation and damage [208].…”

Section: Genetic Landscape Of Drought Tolerance In Wheat and Barleymentioning

confidence: 99%

Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research

Sallam

Alqudah

Dawood

et al. 2019

IJMS

464

312

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Climate change is a major threat to most of the agricultural crops grown in tropical and sub-tropical areas globally. Drought stress is one of the consequences of climate change that has a negative impact on crop growth and yield. In the past, many simulation models were proposed to predict climate change and drought occurrences, and it is extremely important to improve essential crops to meet the challenges of drought stress which limits crop productivity and production. Wheat and barley are among the most common and widely used crops due to their economic and social values. Many parts of the world depend on these two crops for food and feed, and both crops are vulnerable to drought stress. Improving drought stress tolerance is a very challenging task for wheat and barley researchers and more research is needed to better understand this stress. The progress made in understanding drought tolerance is due to advances in three main research areas: physiology, breeding, and genetic research. The physiology research focused on the physiological and biochemical metabolic pathways that plants use when exposed to drought stress. New wheat and barley genotypes having a high degree of drought tolerance are produced through breeding by making crosses from promising drought-tolerant genotypes and selecting among their progeny. Also, identifying genes contributing to drought tolerance is very important. Previous studies showed that drought tolerance is a polygenic trait and genetic constitution will help to dissect the gene network(s) controlling drought tolerance. This review explores the recent advances in these three research areas to improve drought tolerance in wheat and barley.

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Section: Genetic Landscape Of Drought Tolerance In Wheat and Barleymentioning

confidence: 99%

Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research

Sallam

Alqudah

Dawood

et al. 2019

IJMS

464

312

View full text Add to dashboard Cite

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“…Higher stomatal conductance is related with the highest photosynthesis rate in quinoa (González et al ., ). Chlorophyll fluorescence parameters such as F v / F m and NPQ are commonly used for evaluating abiotic stress (Sharma et al ., ; Zhou et al ., , ). Overall, we found a positive correlation between chlorophyll fluorescence parameters ( F v / F m and NPQ ) and yield.…”

Section: Discussionmentioning

confidence: 99%

Impact of heat and drought stress on peroxisome proliferation in quinoa

et al. 2019

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AS and KM are joint senior authors. SUMMARYAlthough peroxisomes play a key role in plant metabolism under both normal and stressful growth conditions, the impact of drought and heat stress on the peroxisomes remains unknown. Quinoa represents an informative system for dissecting the impact of abiotic stress on peroxisome proliferation because it is adapted to marginal environments. Here we determined the correlation of peroxisome abundance with physiological responses and yield under heat, drought and heat plus drought stresses in eight genotypes of quinoa. We found that all stresses caused a reduction in stomatal conductance and yield. Furthermore, H 2 O 2 content increased under drought and heat plus drought. Principal component analysis demonstrated that peroxisome abundance correlated positively with H 2 O 2 content in leaves and correlated negatively with yield. Pearson correlation coefficient for yield and peroxisome abundance (r = À0.59) was higher than for commonly used photosynthetic efficiency (r = 0.23), but comparable to those for classical stress indicators such as soil moisture content (r = 0.51) or stomatal conductance (r = 0.62). Our work established peroxisome abundance as a cellular sensor for measuring responses to heat and drought stress in the genetically diverse populations. As heat waves threaten agricultural productivity in arid climates, our findings will facilitate identification of genetic markers for improving yield of crops under extreme weather patterns. Gene transcription analysisPeroxisome genes in quinoa were identified by performing a BLAST search of Arabidopsis sequences against the quinoa pseudomolecule genome assembly (Jarvis et al., 2017) using default parameters ( Figure S3). Syntenic regions of coding sequences

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“…Fluorescence sensors are passive or active in the ultraviolet, visible, and near-infrared spectral regions, which are sensitive to fluorescence signals [153]. They are commonly used to detect the resilience of the crop metabolic status in stressed environments [147].…”

Section: Fluorescence Sensorsmentioning

confidence: 99%

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Jin

Zarco‐Tejada

Schmidhalter

et al. 2021

IEEE Geosci. Remote Sens. Mag.

194

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This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. 2 0274-6638/20©2020IEEE IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MONTH 2020 C rop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, highthroughput crop phenotyping methods and data analytical capacities need to be improved. High-throughput phenotyping offers a powerful way to assess particular phenotypes in large-scale experiments, using high-tech sensors, advanced robotics, and imageprocessing systems to monitor and quantify plants in breeding nurseries and field experiments at multiple scales. In addition, new bioinformatics platforms are able to embrace large-scale, multidimensional phenotypic datasets. Through the combined analysis of phenotyping and genotyping data, environmental responses and gene functions can now be dissected at unprecedented resolution. This will aid in finding solutions to currently limited and incremental improvements in crop yields. BACKGROUND Worldwide demand for food will increase through 2050 and beyond due to the increasing global human population. This represents a huge challenge to crop researchers and agricultural policymakers because current yield gain rates will not be sufficient for the demands of population growth, while climate change will make the difficulty even greater. Today's DNA sequencing, marker-assisted breeding, transgenic technology, genome-wide association study (GWAS) approaches, and quantitative trait loci (QTL) identification have been applied, to a limited extent, to improve crop yields [1]-[4]. While it is now relatively easy to select for monogenic traits, current genome sequence datasets have not been sufficiently mined for more genetically complex (multigenic) performance characteristics, at least in part because of the lack of crop phenotypic information collected from real-world field situations. Furthermore, traditional crop growth analysis often involves destructive sampling that is time-consuming and prone to measurement error. At High-Throughput Estimation of Crop Traits A review of ground and aerial phenotyping platforms

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Phenotyping of faba beans (Vicia faba L.) under cold and heat stresses using chlorophyll fluorescence

Cited by 57 publications

References 37 publications

Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research

Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research

Impact of heat and drought stress on peroxisome proliferation in quinoa

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

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