Employing empirical models to analyze stability of yield and quality traits in chili peppers (<i>Capsicum</i> species)

Abstract Stability analysis plays a crucial role in plant breeding programs aimed at enhancing crop productivity and resilience. Chili yield stability studies based on the interaction of genotype × environment have been widely conducted, as stable yield is very substantial in the formation of sustainably high‐yielding chili varieties. Multi‐environmental trials, conducted across different seasons, locations, or both, are used to assess these G × E interactions through various statistical models. In this context, this review paper explores the understanding of stability analysis in chili breeding, the significance of genotype by environment interaction, and the methods employed in this domain, providing a comprehensive update on recent advancements in stability analysis specific to chili breeding. Furthermore, research studies conducted on stability analysis in chili breeding programs and software used to assess crop stability are featured, shedding light on the application, challenges, and future prospects in the field. The importance of stability analysis in developing stable genotypes and enhancing agricultural productivity amid evolving environmental conditions is herewith underscored. These insights are critical for breeding programs aiming to create robust genotypes capable of adapting to changing environmental conditions, ultimately contributing to more sustainable agricultural practices.

Authors

Institutions

Publication Details

Journal
Crop Science
Published
2024-10-20
DOI
https://doi.org/10.1002/csc2.21390
Citations
5
Primary Topic
Agricultural Practices and Plant Genetics
Type
article
Field-Weighted Citation Impact
3.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employing empirical models to analyze stability of yield and quality traits in chili peppers (Capsicum species)

K. K. Kumar, Irene Vethamoni P, N. Premalatha, H. Usha Nandhini Devi et al.
5 citations
Crop Science
Agricultural Practices and Plant Genetics
3.00
article

Employing empirical models to analyze stability of yield and quality traits in chili peppers (Capsicum species)

K. K. Kumar, Irene Vethamoni P, N. Premalatha, H. Usha Nandhini Devi, S. Srividhya, S. Subhavyuktha
article en
5 citations

Abstract

Abstract Stability analysis plays a crucial role in plant breeding programs aimed at enhancing crop productivity and resilience. Chili yield stability studies based on the interaction of genotype × environment have been widely conducted, as stable yield is very substantial in the formation of sustainably high‐yielding chili varieties. Multi‐environmental trials, conducted across different seasons, locations, or both, are used to assess these G × E interactions through various statistical models. In this context, this review paper explores the understanding of stability analysis in chili breeding, the significance of genotype by environment interaction, and the methods employed in this domain, providing a comprehensive update on recent advancements in stability analysis specific to chili breeding. Furthermore, research studies conducted on stability analysis in chili breeding programs and software used to assess crop stability are featured, shedding light on the application, challenges, and future prospects in the field. The importance of stability analysis in developing stable genotypes and enhancing agricultural productivity amid evolving environmental conditions is herewith underscored. These insights are critical for breeding programs aiming to create robust genotypes capable of adapting to changing environmental conditions, ultimately contributing to more sustainable agricultural practices.

Crop ScienceVol. 64(6)
Tamil Nadu Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 9%
Agricultural Practices and Plant Genetics
3.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.