Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate DOI Creative Commons
Mohamed Houssemeddine Sellami, Ida Di Mola, Lucia Ottaiano

et al.

Frontiers in Agronomy, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 6, 2024

Durum wheat, a staple crop in Italy, faces substantial challenges due to increasing droughts and rising temperatures. This study examines the grain yield, agronomic traits, quality of 41 durum wheat varieties over ten growing seasons Southern utilizing randomized complete block design. Notably, most were not repeated between trials 45% data was missing. The results indicate that interaction genotype environment (GEI) significantly impacted all traits. High temperatures, elevated vapor pressure deficit (VPD), water deficits severely affected yield during warm years, while cooler years with favorable availability promoted better growth higher yields. Broad-sense heritability (H²) generally low, suggesting environmental factors played major role observed However, some such as ears per square meter, plant height, bleached thousand-grain weight, hectoliter weight exhibited moderate high mean (h² mg ), indicating their potential for effective selection breeding programs. Correlation analyses revealed strong connections certain protein content, gluten index well spike meter. Using Multi-Trait Mean Performance Selection (MTMPS) index, identified six top-performing varieties. Among these, Antalis (G4) Core (G18) consistently demonstrated adaptability stability across different environments, particularly hotter, drier conditions. Furio Camillo (G31) also valuable highlights complexities improved face climate change.

Language: Английский

Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses DOI Creative Commons

Destaw Mullualem,

Alemu Tsega, Tesfaye Mengie

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(12), P. e32918 - e32918

Published: June 1, 2024

Bread wheat is a vital staple crop worldwide; including in Ethiopia, but its production prone to various environmental constraints and yield reduction associated with adaptation. To identify adaptable genotypes, total of 12 bread genotypes (G1 G12) were evaluated for their genotype-environment interaction (GEI) stability across three different environments two years using Additive Main Effect Multiplicative Interaction (AMMI) genotype main effect plus genotype-by-environment (GGE) biplots analysis. GEI common phenomenon improvement significant importance assessment recommendation. According combined analysis variance, grain was considerably impacted by environments, GEI. AMMI GGE also provided insights into the performance diverse conditions. Among G6 selected biplot as adaptive high-yielding genotype; G5 G7 demonstrated high minimal environment, evidenced IPCA1 values. identified most stable genotype. The biplot's polygon view revealed that highest obtained from environment (E3). E3 ideal biplot. top value (ASV) G5, G7, G10, while determined Genotype Selection Index (GSI) G7. Even though yielder, it found be unstable according ASV ranked third GSI. Based on study's findings, Tay (G6) due environments. showed similar characteristics stable. These findings provide valuable breeders researchers selecting stable, well specifically adapted genotypes.

Language: Английский

Citations

5
Multivariate Analysis Techniques and Tolerance Indices for Detecting Bread Wheat Genotypes of Drought Tolerance DOI Creative Commons

Ibrahim Al-Ashkar

Diversity, Journal Year: 2024, Volume and Issue: 16(8), P. 489 - 489

Published: Aug. 10, 2024

Drought stress is one of the biggest hardships in wheat cultivation because strong negative relationship between water deficit and crop yields owing to a lower grain weight, shorter grain-filling period, slower rate, reduced quality. Genotype–environment interaction (GEN:ENV) generates selecting genotypes ideotypes due biased genetic estimates. Diverse strategies have been proposed respond urgent need for concurrent improvements yield performance stability. This study’s purpose was appraise variation GEN:ENV effects on components discover drought-stress-tolerant ideotypes. study evaluated 20 three consecutive seasons under non-stressful drought-stress conditions total six ENVs. The broad-sense heritability ranged from 0.54 0.82 based expected mean squares 0.60 0.90 plot mean, but other ways, it usually greater than 0.90. high values (σgen:env2) revealed effect that has expression traits. G01, G03, G06, G07, G08, G10, G12, G13, G16, G17, G18 were stable (GY), according additive main multiplicative biplot Based scores weighted average absolute (WAASB), G02, G04, G05, selected as high-performance GY, they all best genotype groups using WAASB-GY superiority index. From results obtained principal component analysis hierarchical clustering tolerance discrimination indices, G18, G19 are produce suitable conditions. In essence, combining approaches take into consideration stability can contribute significantly enhancing reliability recommendations novel genotypes.

Language: Английский

Citations

3
Variety-specific responses to climatic and edaphic factors in cassava productivity DOI Creative Commons

Phongnapha Phanthanong,

Kanokporn Promnikorn,

Pasajee Kongsil

et al.

Frontiers in Agronomy, Journal Year: 2025, Volume and Issue: 7

Published: March 4, 2025

Despite cassava’s significance as a staple crop in tropical and subtropical regions, there is limited understanding of how specific environmental factors influence the productivity different cassava varieties. This study investigated complex relationship between yield traits such fresh root (FRY), dry (DRY), starch content (SC) harvest index (HI) using data obtained from six varieties cultivated for five seasons (2014 to 2019) across nine major locations Thailand. A total 41 distinct trials were conducted, representing range conditions encompassing various rainfall temperature patterns, well soil characteristics. Field experiments conducted randomized complete block design with four replicates at each location. Climatic data, including air precipitation, along parameters, recorded analyzed assess their impact on traits. Regression analysis revealed coefficients affecting parameters. Cumulative precipitation during 4-5 months after planting (MAP) 6-10 MAP, average 2-3 MAP positively influenced yield. However, negative correlations observed organic matter HI. Furthermore, 1-10 negatively impacts FRY DRY, while cumulative 1 HI SC Varieties exhibited varied responses factors, emphasizing need consider variety accurate interpretation. The introduces novel approach selecting genotypes adapted by grouping regression evaluated These findings provide insights optimizing agricultural practices enhance contribute sustainable cultivation.

Language: Английский

Citations

0
Parametric and non-parametric methods for the evaluation of winter rye genotypes by grain yield stability DOI Creative Commons
Gergana Desheva,

Evgeniya Valchinova,

Albena Pencheva

et al.

Journal of Agricultural Sciences Belgrade, Journal Year: 2025, Volume and Issue: 70(1), P. 1 - 19

Published: Jan. 1, 2025

The analysis of yield stability has become increasingly relevant in recent years due to changing climatic conditions that negatively affect crop yields. It is utmost importance for farmers cultivate widely adaptable and yield-stable varieties with high potential, as this determines economic predictability mitigates their risk. Stability also crucial plant breeders create genotypes adapted a wide range diverse environments. aim study was identify high-yielding, stable adaptive rye landraces cultivars commercial breeding purposes. trial carried out from 2014 2022 included 16 7 Bulgarian landraces. experiment conducted block design the randomized variants four replications. Sixteen parametric non-parametric parameters grain were determined. average sum ranks (ASR), AMMI value (ASV), index (YSI) genotype selection (GSI) calculated. Year had highest statistically significant effect on per hectare. Parametric estimated G13, G12, G20 G21 most stable. ASV identified G18, G12 G9 genotypes, while YSI G19, respectively. GSI classified G19 broadest adaptability adverse conditions. They could serve source material programs.

Language: Английский

Citations

0
Estimation of genetic parameters and use of selection indices in the identification of superior sweet potato genotypes DOI
André Dutra Silva Júnior, Carlos Nick, Dalcirlei Pinheiro Albuquerque

et al.

Euphytica, Journal Year: 2025, Volume and Issue: 221(5)

Published: April 15, 2025

Language: Английский

Citations

0
Rooting for resilience: central metaxylem area as a breeding target for yield gain and resilience in wheat (Triticum aestivum L.) DOI Creative Commons
Rajamani Nirmalaruban,

Rajbir Yadav,

Subramani Sugumar

et al.

BMC Plant Biology, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 21, 2025

To ensure food security amid unpredictable climatic conditions and depleting natural resources, larger stable genetic gain have to be realised in wheat. Adapting these challenges requires focus on both above-ground below-ground traits. Root anatomy reveals the functional adaptations of root system. Despite their potential, anatomical traits remain underutilized but hold promise as breeding targets for developing efficient resilient crops. Our study aims identify highly plastic wheat genotypes with superior yield stability robust traits, enabling them thrive under diverse challenging environmental conditions. By leveraging advanced multi-trait indices models, we seek provide breeders valuable insights enhancing resilience productivity. In this study, 150 were evaluated across three environments 10 along phenological observation grain yield. The results show significant positive correlations between such axial hydraulic conductance based central metaxylem area total xylem area, This highlights critical role less explored formation. Central was able explain more than 14 per cent variation over all environments. Although polynomial equation did not significantly improve data fitness, it clearly indicates no sign saturation at highest CMXA levels. Modern tools like GGE AMMI though effective reducing dimensions do effectively rank basis different trait values simultaneously. Advanced models BLUP, WAASB, (MTSI, MGIDI, FAI-BLUP) power overcome collinearity variables use genotypes. Genotypes G97 G18 (both being derivative from cross HDCSW18/CSW1), G112, G144 CIMMYT material) G131 (31ESWYT135/CSW23) consistently exhibited high picked up by models. demonstrated a moderate coincidence index 22.72% among confirming value selected Positive highlighted importance water transport, nutrient exchange safety crop. is explaining environment whole proper adjustment can play key consolidation likely uncertain production condition future. Three out five are HDCSW18, variety released conservation agriculture very strong system biomass. High biomass accumulation facilitated early seeding mild vernalisation requirement sustain higher seed climates thus findings contribute strategies improving resilience.

Language: Английский

Citations

0
Optimization of maize hybrids in the Brazilian Northeast: a multi-trait selection and envirotyping techniques in multi-environment trials DOI Creative Commons
Gabriel O. Martins, Gustavo Hugo Ferreira de Oliveira, Tâmara Rebecca Albuquerque de Oliveira

et al.

Scientia Agricola, Journal Year: 2025, Volume and Issue: 82

Published: Jan. 1, 2025

ABSTRACT: The objective of this study was to apply the envirotyping methodology delineate macroenvironments (MEs) in Brazilian Northeast. Multivariate analyses were conducted investigate relationship between genotype × environment interaction (G E), stability, and average performance maize genotypes, enhance corn adaptation diverse environmental conditions. Twenty hybrids cultivated across ten environments over two harvest seasons, with following characteristics assessed each environment: grain yield (GY), plant height (PH), ear (EH), density (PD), number ears (NE). target regions characterized based on 19 covariates (ECs) a 23-year climatological series (2001-2023), which resulted identification four MEs similar climatic features. macroenvironment year significantly influenced evaluated traits. top five genotypes for ME identified using multi-trait mean stability index (MTMPS) demonstrated favorable multiple years seasons. G03 G04 selected three out MEs, indicating their adaptability as hybrids. Envirotyping revealed robust correlation environments, enhancing precision cultivars can be recommended various locations within same ME. multivariate approach utilizing MTMPS proved effectively productive stable tailored

Language: Английский

Citations

0
Heat Stress Tolerance in Wheat Seedling: Clustering Genotypes and Identifying Key Traits Using Multivariate Analysis DOI Creative Commons

Md Mehedi Hasan,

M. A. Baset Mia, Jalal Uddin Ahmed

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38623 - e38623

Published: Sept. 27, 2024

Elevated atmospheric heat is considered as one of the bottlenecks for global wheat production. Screening potential genotypes against stress and selecting some suitable indicators to assist in understanding thermotolerance could be crucial sustaining cultivation. Accordingly, 80 diverse bread were evaluated controlled lab condition by imposing a week-long (35/25

Language: Английский

Citations

2
Optimizing drought tolerance in cassava through genomic selection DOI Creative Commons
Weverton Gomes da Costa,

Massaine Bandeira e Souza,

Camila Ferreira Azevedo

et al.

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

Published: Dec. 16, 2024

The complexity of selecting for drought tolerance in cassava, influenced by multiple factors, demands innovative approaches to plant selection. This study aimed identify cassava clones with water stress employing truncated selection and based on genomic values population improvement genotype evaluation

Language: Английский

Citations

2
Multi-environment evaluation of Clary sage (Salvia sclarea L.) selections for yield and essential oil traits under Western Himalayan conditions DOI

Ajay Kumar,

Romika Thakur,

Rahul Dev Gautam

et al.

Journal of Applied Research on Medicinal and Aromatic Plants, Journal Year: 2024, Volume and Issue: unknown, P. 100579 - 100579

Published: Sept. 1, 2024

Language: Английский

Citations

1