Genetic Parameters Estimation and Identification of Promising Rice Genotypes Grown in Normal Irrigation Condition Using MGIDI Index DOI Creative Commons

Punam Roka,

Bhim Nath Adhikari, Suraj Shrestha

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Abstract Rice (Oryza sativa L.) was first domesticated in China around 9,000 years ago, is a key global food source providing approximately 130 kilocalories per 100-gram serving, and the rice market projected to reach record production of 527.6 million tons 2024/25. The Multi-Trait Genotype-Ideotype Distance Index (MGIDI) an effective tool for selecting desirable genotypes breeding programs, aimed at enhancing genetic diversity crop performance by integrating multiple traits into single score using weighted Euclidean distance Principal Component Analysis (PCA). This study evaluated 24 genotypes, including twenty-two pipeline varieties from National Research Program two control varieties, MGIDI Best Linear Unbiased Prediction (FAI-BLUP) methods. Significant genotype effects (p < 0.005) were observed days flowering (DTF) maturity (DTM), indicating strong control. In contrast, moderate noted leaf number (LN) grain yield (YD). Broad-sense heritability estimates ranged 0.2 tiller (TN) 1 DTF, with DTM also exhibiting high Heritability (> 0.8). Three principal components retained, explaining 79.5% total trait variation, factor grouping three factors: FA1 (DTF, DTM, YD), FA2 (TN, LN), FA3 (PLL, PASQM). Selection gains 11.99% targeted enhancement − 4.78% requiring reduction, while FAI-BLUP showed 3.30% 1.96% (TN). Selected included IR13N152, NR2191-21-1-1-1-1, NR2224-7-1-1-2-2. analysis highlighted NR 2191-2-1-1-1-1-1 as performing well across traits, SVIN 372 exhibited overall weaknesses. effectively identified superior contributing balanced selection enhanced efficiency.

Language: Английский

Photosynthetic performance, pigments and biochemicals influence seed yield in rapeseed under water deficit conditions: MGIDI index helps screening drought-tolerant genotypes DOI
Maryam Salami,

Helin Tan,

Bahram Alizadeh

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 322, P. 109733 - 109733

Published: Jan. 9, 2025

Language: Английский

Citations

1
Identification of salt-resilient cotton genotypes using integrated morpho-physiological and biochemical markers at the seedling stage DOI Creative Commons

Nimra Gul,

Zafran Khan, Muhammad Yousaf Shani

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Soil salinity drastically hinders cotton productivity (Gossypium hirsutum), and fiber quality. The current study evaluated morpho-physiological biochemical responses of fifty genotypes under different levels (control, 12 dS/m, 17 dS/m) at the seedling stage. experiment was performed in a factorial complete randomized design with three replications. Significant genotype × treatment interactions were observed for most traits, including shoot length (SL), root (RL), fresh dry weight (FSW, DSW), (FRW, DRW), total soluble protein (TSP), proline content, antioxidant enzymes. Severe stress reduces (SL) (RL) along notable decreases biomass altered responses, increased activities indicating adaptation. Moreover, PCA Pearson's correlation analyses unveiled strong positive negative correlations among studied attributes while MGIDI assist determining salt-resilient applied treatments. best-performing control conditions G2, G8, G12, G7, G43, G30 showed resilience severe stress. effectively identified outstanding tolerance, such as G40, G26, across all levels. This research assists stress-tolerant using parameters is used precise method identifying accessions.

Language: Английский

Citations

1
Mapping of the QTLs governing stem-specific weight for stem reserve mobilisation in wheat (Triticum aestivum L.) under combined heat and drought stress DOI
Sukumar Taria, Ajay Arora, Hari Krishna

et al.

Plant Physiology Reports, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

Citations

0
Brown Plant Hopper Resistance in Promising Doubled Haploid Rice Lines Selected by MGIDI and FAI-BLUP Index DOI Open Access
Iswari S. Dewi, Bambang Sapta Purwoko,

Ratna Kartika Putri

et al.

Pertanika journal of tropical agricultural science, Journal Year: 2025, Volume and Issue: 48(3)

Published: May 16, 2025

Rice (Oryza sativa L.) is the main source of calories for world’s population but faces challenges from climate change and pest infestations, particularly brown planthopper (BPH) in Indonesia. This study assessed agronomic traits, yield components, resistance to BPH 16 rice genotypes, comprising 14 doubled-haploid (DH) lines two commercial varieties (Ciherang Inpari 18). Genotype selection involved Multi-Trait Genotype–Ideotype Distance Index (MGIDI) Factor Analytic Index-Based Best Linear Unbiased Prediction (FAI-BLUP). Genotype-by-trait (GT) biplots were also utilized visualize genotype performance across various traits. The response DH was using biotypes 1, 2, 3. MGIDI-selected M-5, M-7, M-12, which yielded 9.0-, 8.9-, 9.6- ton ha-1, respectively. They significantly surpassed checks. M-5 M-7 selected FAI-BLUP, while M-12 not due advantage trait weighting MGIDI analysis. These aligned with goals based on ideotype, demonstrating ideal performance. effectiveness both FAI-BLUP has shown promising results, explaining 100% variance among traits resulting predicted genetic gains indicating improvements most Two (M-5 M-7) showed moderate biotype 1 moderately susceptible 2 variability highlights challenge these different environments those biotypes.

Language: Английский

Citations

0
Genetic Parameters Estimation and Identification of Promising Rice Genotypes Grown in Normal Irrigation Condition Using MGIDI Index DOI Creative Commons

Punam Roka,

Bhim Nath Adhikari, Suraj Shrestha

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Abstract Rice (Oryza sativa L.) was first domesticated in China around 9,000 years ago, is a key global food source providing approximately 130 kilocalories per 100-gram serving, and the rice market projected to reach record production of 527.6 million tons 2024/25. The Multi-Trait Genotype-Ideotype Distance Index (MGIDI) an effective tool for selecting desirable genotypes breeding programs, aimed at enhancing genetic diversity crop performance by integrating multiple traits into single score using weighted Euclidean distance Principal Component Analysis (PCA). This study evaluated 24 genotypes, including twenty-two pipeline varieties from National Research Program two control varieties, MGIDI Best Linear Unbiased Prediction (FAI-BLUP) methods. Significant genotype effects (p < 0.005) were observed days flowering (DTF) maturity (DTM), indicating strong control. In contrast, moderate noted leaf number (LN) grain yield (YD). Broad-sense heritability estimates ranged 0.2 tiller (TN) 1 DTF, with DTM also exhibiting high Heritability (> 0.8). Three principal components retained, explaining 79.5% total trait variation, factor grouping three factors: FA1 (DTF, DTM, YD), FA2 (TN, LN), FA3 (PLL, PASQM). Selection gains 11.99% targeted enhancement − 4.78% requiring reduction, while FAI-BLUP showed 3.30% 1.96% (TN). Selected included IR13N152, NR2191-21-1-1-1-1, NR2224-7-1-1-2-2. analysis highlighted NR 2191-2-1-1-1-1-1 as performing well across traits, SVIN 372 exhibited overall weaknesses. effectively identified superior contributing balanced selection enhanced efficiency.

Language: Английский

Citations

0