The Application of Genome-Wide Association Studies in Plant Breeding DOI
Niranjan Thakur, Krishnananda Pralhad Ingle, Rutwik Barmukh

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

The role of phenomics and genomics in delineating the genetic basis of complex traits in millets DOI

Yashoda Jadhav,

Niranjan Thakur, Krishnananda Pralhad Ingle

и другие.

Physiologia Plantarum, Год журнала: 2024, Номер 176(3)

Опубликована: Май 1, 2024

Abstract Millets, comprising a diverse group of small‐seeded grains, have emerged as vital crops with immense nutritional, environmental, and economic significance. The comprehension complex traits in millets, influenced by multifaceted genetic determinants, presents compelling challenge opportunity agricultural research. This review delves into the transformative roles phenomics genomics deciphering these intricate architectures. On front, high‐throughput platforms generate rich datasets on plant morphology, physiology, performance environments. data, coupled field trials controlled conditions, helps to interpret how environment interacts genetics. Genomics provides underlying blueprint for traits. Genome sequencing genotyping technologies illuminated millet genome landscape, revealing gene pools evolutionary relationships. Additionally, different omics approaches unveil information expression, protein function, metabolite accumulation driving phenotypic expression. multi‐omics approach is crucial identifying candidate genes unfolding pathways governing highlights synergy between genomics. Genomically informed phenotyping targets specific traits, reducing breeding size cost. Conversely, identifies promising germplasm genomic analysis, prioritizing variants superior performance. dynamic interplay accelerates programs facilitates development climate‐smart, nutrient‐rich varieties hybrids. In conclusion, this emphasizes unlocking enigma millets.

Язык: Английский

Процитировано

6

Tapping into the Potential of Underutilized Niger (Guizotia abyssinica (L. f.) Cass.) Through Breeding and Biotechnological Tools DOI Creative Commons

Jayashri Narayan Papade,

Krishnananda Pralhad Ingle, Niranjan Thakur

и другие.

Agriculture, Год журнала: 2025, Номер 15(3), С. 350 - 350

Опубликована: Фев. 6, 2025

Niger (Guizotia abyssinica (L. f.) Cass.), an oilseed crop from the Compositae family, thrives in temperate and tropical climates. Its small seeds, rich oil (50–60% biocrude), are widely used for biodiesel, soap production, as a condiment culinary applications. Additionally, harvested plants serve green manure, improving soil health. However, cultivation India has significantly declined over past decade due to low yields, poor seed set, self-incompatibility, harvest index, shattering. A lack of genetic diversity further restricts breeders developing high-yielding cultivars. The discovery hereditary male sterility facilitated heterosis utilization laid foundation breeding improved varieties. This review explores use traditional methods tools enhance Niger, emphasizing plant tissue culture, molecular markers, identification promising gene targets produce desirable traits. Advanced technologies like CRISPR/Cas, including base prime editing, revolutionize functional genomics research. insights this paper stress urgent need genetically improve other underutilized crops meet increasing global demand sustainable diverse crops. Such interventions could transform cultivation, ensuring its role agriculture.

Язык: Английский

Процитировано

0

Optimization of silver scat population breeding strategy and germplasm resource improvement based on genetic algorithm DOI Open Access
Pan Chen,

Liu Cao,

Ning Yang

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract Silverdrum fish is popular among farmers because of its fast growth and easy rearing, so it important to study the optimization method artificial breeding strategy silverdrum stock. In this study, according requirements environment silver scat experience experts, flow rate, water depth, temperature light market are key factors model breeding, multi-objective algorithm NSGA-II selected as main model, intersection operator variational in improved, then SDR proposed a substitute for Pareto dominance relationship enhance solving ability algorithm. The was found be most suitable drum when temperature, depth duration were set 22.5℃, 0.21m/s, 1.7m 15h, respectively. results experiments showed that gonadal development parents optimized group better than those original group, survival rates juveniles better, effect germplasm resources improved. This can provide theoretical basis technical support decision-making improvement stock future, also lays data foundation establishment farm.

Язык: Английский

Процитировано

0

Plant Genetic Resource Conservation of Oman DOI

Ali H. Al Lawati

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The Application of Genome-Wide Association Studies in Plant Breeding DOI
Niranjan Thakur, Krishnananda Pralhad Ingle, Rutwik Barmukh

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0