Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding DOI Creative Commons

Ignacio Chang-Brahim,

Lukas J. Koppensteiner,

Lorenzo Beltrame

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: April 18, 2024

Marker-assisted selection (MAS) plays a crucial role in crop breeding improving the speed and precision of conventional programmes by quickly reliably identifying selecting plants with desired traits. However, efficacy MAS depends on several prerequisites, precise phenotyping being key aspect any plant programme. Recent advancements high-throughput remote phenotyping, facilitated unmanned aerial vehicles coupled to machine learning, offer non-destructive efficient alternative traditional, time-consuming, labour-intensive methods. Furthermore, relies knowledge marker-trait associations, commonly obtained through genome-wide association studies (GWAS), understand complex traits such as drought tolerance, including yield components phenology. GWAS has limitations that artificial intelligence (AI) been shown partially overcome. Additionally, AI its explainable variants, which ensure transparency interpretability, are increasingly used recognised problem-solving tools throughout process. Given these rapid technological advancements, this review provides an overview state-of-the-art methods processes underlying each MAS, from genotyping analyses integration along entire workflow. In context, we specifically address challenges importance winter wheat for greater tolerance stable yields, regional droughts during critical developmental stages pose threat production. Finally, explore transition scientific progress practical implementation discuss ways bridge gap between cutting-edge developments breeders, expediting MAS-based tolerance.

Language: Английский

Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research DOI Open Access
Ahmed Sallam, Ahmad M. Alqudah, Mona F. A. Dawood

et al.

International Journal of Molecular Sciences, Journal Year: 2019, Volume and Issue: 20(13), P. 3137 - 3137

Published: June 27, 2019

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

Language: Английский

Citations

541
A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat DOI Creative Commons
Kamal Khadka,

Hugh J. Earl,

Manish N. Raizada

et al.

Frontiers in Plant Science, Journal Year: 2020, Volume and Issue: 11

Published: June 3, 2020

In the past, there have been drought events in different parts of world, which negatively influenced productivity and production various crops including wheat (Triticum aestivum L.), one world's three important cereal crops. Breeding new high yielding drought-tolerant varieties is a research priority specifically regions where climate change predicted to result more conditions. Commonly breeding for tolerance, grain yield basis selection, but it complex, late-stage trait, affected by many factors aside from drought. A strategy that evaluates genotypes physiological responses at earlier growth stages may be targeted time efficient. Such an approach enabled recent advances high-throughput phenotyping platforms (HTPPs). addition, success genomic molecular approaches rely on quality phenotypic data utilized dissect genetics complex traits such as tolerance. Therefore, first objective this review describe growth-stage based physio-morphological could breeders develop genotypes. The second throughput tolerance related primarily under field We discuss how these strategies can integrated into comprehensive program mitigate impacts change. concludes need stage-based improve efficiency wheat.

Language: Английский

Citations

167
Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies DOI
Dinesh Kumar Saini, Yuvraj Chopra, Jagmohan Singh

et al.

Molecular Breeding, Journal Year: 2021, Volume and Issue: 42(1)

Published: Dec. 22, 2021

Language: Английский

Citations

107
Genetic Improvement of Wheat for Drought Tolerance: Progress, Challenges and Opportunities DOI Creative Commons
Theresa Bapela, Hussein Shimelis, Toi J. Tsilo

et al.

Plants, Journal Year: 2022, Volume and Issue: 11(10), P. 1331 - 1331

Published: May 18, 2022

Wheat production and productivity are challenged by recurrent droughts associated with climate change globally. Drought heat stress resilient cultivars can alleviate yield loss in marginal agro-ecologies. The ability of some crop genotypes to thrive drought conditions is attributable the inherent genetic variation environmental adaptation, presenting opportunities develop drought-tolerant varieties. Understanding underlying genetic, physiological, biochemical, mechanisms their interactions key critical opportunity for tolerance improvement. Therefore, objective this review document progress, challenges, breeding wheat. paper outlines following aspects: (1) challenges adaptation drought-prone environments, (2) such as wheat tolerance, selection methods, interplay between above-ground phenotypic traits root attributes drought-responsive (3) approaches, technologies innovations breeding. In end, summarises gains perspectives will serve baseline information breeders agronomists guide development deployment drought-adapted high-performing new-generation

Language: Английский

Citations

90
Recent Advances in Plant Drought Tolerance DOI
Muhammad Farooq, Abdul Wahid, Noreen Zahra

et al.

Journal of Plant Growth Regulation, Journal Year: 2024, Volume and Issue: 43(10), P. 3337 - 3369

Published: May 18, 2024

Language: Английский

Citations

19
Genetics of yield, abiotic stress tolerance and biofortification in wheat (Triticum aestivum L.) DOI
P. K. Gupta, H. S. Balyan, Shailendra Sharma

et al.

Theoretical and Applied Genetics, Journal Year: 2020, Volume and Issue: 133(5), P. 1569 - 1602

Published: April 6, 2020

Language: Английский

Citations

138
Genetics and genomics of root system variation in adaptation to drought stress in cereal crops DOI Creative Commons
Md. Nurealam Siddiqui, Jens Léon, Ali Ahmad Naz

et al.

Journal of Experimental Botany, Journal Year: 2020, Volume and Issue: 72(4), P. 1007 - 1019

Published: Oct. 19, 2020

Abstract Cereals are important crops worldwide that help meet food demands and nutritional needs. In recent years, cereal production has been challenged globally by frequent droughts hot spells. A plant’s root is the most relevant organ for plant adaptation to stress conditions, playing pivotal roles in anchorage acquisition of soil-based resources. Thus, dissecting system variations trait selection enhancing yield sustainability under drought conditions should aid future global security. This review highlights attributes their interplay with shoot architecture features face water scarcity maintain thus major crops. Further, we compile root-related responsive quantitative loci/genes including interspecies relationships using microsynteny facilitate comparative genomic analyses. We then discuss potential an integrated strategy combining genomics phenomics at genetic epigenetic levels explore natural diversity as a basis knowledge-based genome editing. Finally, present outline establish innovative breeding leads rapid optimized traits necessary develop resilient crop varieties.

Language: Английский

Citations

114
Development of Drought-Tolerant Transgenic Wheat: Achievements and Limitations DOI Open Access
Shahbaz Khan, Sumera Anwar,

Shaobo Yu

et al.

International Journal of Molecular Sciences, Journal Year: 2019, Volume and Issue: 20(13), P. 3350 - 3350

Published: July 8, 2019

Crop yield improvement is necessary to keep pace with increasing demand for food. Due climatic variability, the incidence of drought stress at crop growth stages becoming a major hindering factor improvement. New techniques are required increase tolerance along improved yield. Genetic modification highly desirable, and genetic engineering requires expression certain stress-related genes. Genes have been identified which confer improve plant survival in transgenic wheat. However, less research has conducted development wheat as compared rice, maize, other staple Furthermore, enhanced without any penalty task engineering. In this review, we focused on progress cultivars improving discussed physiological mechanisms testing their response inserted genes under control or field conditions.

Language: Английский

Citations

101
Genome-Wide Association Study Reveals Novel Genomic Regions Associated with 10 Grain Minerals in Synthetic Hexaploid Wheat DOI Open Access
Madhav Bhatta, P. Stephen Baenziger, Brian M. Waters

et al.

International Journal of Molecular Sciences, Journal Year: 2018, Volume and Issue: 19(10), P. 3237 - 3237

Published: Oct. 19, 2018

Synthetic hexaploid wheat (SHW; Triticum durum L. × Aegilopstauschii Coss.) is a means of introducing novel genes/genomic regions into bread (T. aestivum L.) and potential genetic resource for improving grain mineral concentrations. We quantified 10 minerals (Ca, Cd, Cu, Co, Fe, Li, Mg, Mn, Ni, Zn) using an inductively coupled mass spectrometer in 123 SHWs genome-wide association study (GWAS). A GWAS with 35,648 single nucleotide polymorphism (SNP) markers identified 92 marker-trait associations (MTAs), which 60 were 40 within genes, the genes underlying 20 MTAs had annotations suggesting role concentration. Twenty-four on D-genome showed Ae. tauschii concentrations such as Ca, Ni. Interestingly, large number (36) AB genome these indicated that there lot variation yet to be explored used B along D-genome. Regression analysis positive correlation between cumulative favorable alleles at MTA loci genotype Additionally, we multi-traits stable recommended 13 top 10% higher concentration beneficial (Cu, Zn), compared low ranking genotypes checks could utilized breeding program biofortification. This will further enhance our understanding architecture related cereals.

Language: Английский

Citations

95
Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.) DOI Creative Commons
Madhav Bhatta, Lucı́a Gutiérrez,

Lorena Cammarota

et al.

G3 Genes Genomes Genetics, Journal Year: 2020, Volume and Issue: 10(3), P. 1113 - 1124

Published: Jan. 24, 2020

Plant breeders regularly evaluate multiple traits across environments, which opens an avenue for using in genomic prediction models. We assessed the potential of multi-trait (MT) model through evaluating several strategies incorporating (eight agronomic and malting quality traits) into models with two cross-validation schemes (CV1, predicting new lines genotypic information only CV2, partially phenotyped both phenotypic from correlated barley. The predictive ability was similar single (ST-CV1) (MT-CV1) to predict lines. However, considerably increased when (MT-CV2) were used. grain yield MT-CV2 other resulted 57% 61% higher than ST-CV1 MT-CV1 models, respectively. Therefore, complex such as are better predicted Similarly, a considerable increase observed protein content 76% Additionally, environments obtained all compared model. This study showed improving by (cost-friendly easy measure collected throughout breeding programs could assist speeding up cycles.

Language: Английский

Citations

88