Evaluation of Wheat Genotypes under Water Regimes Using Hyperspectral Reflectance and Agro-Physiological Parameters via Genotype by Yield*Trait Approaches in Sakha Station, Delta, Egypt

Agriculture, Journal Year: 2023, Volume and Issue: 13(7), P. 1338 - 1338

Published: June 30, 2023

Drought is an environmental abiotic stress that diminishes wheat production worldwide. In the present study, we evaluated fifty bread genotypes (arranged in alpha lattice design) under two main water regimes, water-deficit (two surface irrigations) and well-watered (four irrigations), at different sites consecutive cropping seasons, 2019/20 2020/21. To identify drought-tolerant genotypes, utilized several selection/phenotyping criteria, including agronomic traits, e.g., grain yield (GY) components (SM); physiological parameters such as canopy temperature (CT), leaf transpiration rate (TRN), intercellular CO2 concentration (INCO); spectral reflectance indices, Leaf Chlorophyll Index (LCI), curvature index (CI), normalized difference vegetation (NDVI); tolerance indices (STI) were determined concurrently with yield. The results revealed significant differences (p ≤ 0.01) among environments, their interaction for (GY), days to heading (DH), maturity (DM), filling period (GFP), (GFR), Normalized (NDVI), plant height (PH), spikes per square meter (SM). genotype plus by environment (GGE) yield*trait (GYT) biplot techniques indicated Genotype 37 (Sakha 95) 45 performed best environments. Furthermore, same from (GSTI) approach view. was superior GYT selection method, indices. Likewise, can this low-water-tolerant based on GSTI, GYT, SRI recommend involving it drought breeding program.

Language: Английский

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Hyperspectral reflectance and agro-physiological traits for field identification of salt-tolerant wheat genotypes using the genotype by yield*trait biplot technique

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: Aug. 2, 2023

Introduction Salinity is the abiotic obstacle that diminishes food production globally. Salinization causes by natural conditions, such as climate change, or human activities, e.g., irrigation and derange misuse. To cope with salinity problem, improve crop environment utilize crop/wheat breeding (by phenotyping), specifically in spread field conditions. For example, about 33 % of cropping area Egypt affected salinity. Methods Therefore, this study evaluated forty bread wheat genotypes under contrasting conditions across seasons 2019/20 2020/21 at Sakha research station north Egypt. identify tolerance genotypes, performing physiological parameters, Fv/Fm, CCI, Na+, K+, spectral reflectance indices (SRIs), NDVI, MCARI, SR, estimated based on grain yield non-saline soil saline sites over tested years. These traits (parameters) are simultaneously performed for generating GYT biplots. Results The results presented significant differences (P≤0.01) among environments, their interaction (GY) four environments. And first season traits, (GY), plant height (PH), harvest index (HI), chlorophyll content (CCI), fluorescence parameter normalized difference vegetation (NDVI) Additionally, were detected along Blue/Green (BIG2), curvature (CI), (NDVI), Modified simple ratio (MSR). Relying genotype plus (GGE) approach, 34 1 best sites. Genotypes 29 from stress (GSTI) biplot 34. Genotype yield*trait (GYT) method indices. Discussion we can tolerant GSTI SRIs recommend involvement program salt-affected soils. In conclusion, efficiently identifying genotypic variance.

Language: Английский

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Bazı Ekmeklik Buğday Genotiplerinin Bazı Kalite Özellikleri Yönünden Trakya Bölgesine Adaptasyonunun İncelenmesi

Türk Tarım ve Doğa Bilimleri Dergisi, Journal Year: 2023, Volume and Issue: 10(3), P. 622 - 630

Published: July 11, 2023

Bu araştırma Trakya Bölgesinde 2 yıl 7 çevrede yetiştirilen 14 adet ekmeklik buğday genotipinde bazı kalite özelliklerinde genotip x çevre interaksiyonlarını değerlendirmek amacıyla yürütülmüştür. Araştırmada özellikleri olarak bin tane ağırlığı, hektolitre protein oranı, sedimantasyon testi, gluten indeksi ve oranı incelenmiştir. Elde edilen sonuçların yorumlanmasında GGE-biplot analiz yöntemi kullanılmıştır. yöntemde her bir özellik için poligon biplotlar oluşturulmuştur. analizi oranında toplam varyasyonu sırasıyla, %84,86, %78,24, %71,71, %81,60, %75,82 %75,19 açıklamıştır. Deneme çevrelerinin çoğunluğunda ağırlığında G12, Aldane G17, G4 Gelibolu, oranında, Aldane, Saban testinde G9, G20, G12 G14, indeksinde G14 G8, ise G21 iyi uyum sağlayan genotipler olmuştur. İncelenen özelliklerinin tamamı üzerinden değerlendirme yapıldığında hatlar arasında G9 diğer genotiplerden daha üstün değerlere sahip

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Stability and adaptability of grain yield in quinoa genotypes in four locations of Iran

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

Published: Nov. 29, 2024

The genotype × environment interaction is one of the effective factors in identifying and introducing cultivars with stable grain yield different environments. There are many statistical methods for estimating interaction, among which AMMI GGE-biplot analyses provide better more interpretable results. objective this study was to assess as well adaptability stability 40 quinoa genotypes. experiment carried out a randomized complete block design three replications eight environments (four locations Iran two years). analysis variance showed that main effects environment, effect were significant on yield. Separation based principal component method first six components accounted 47.6%, 22.5%, 9%, 7%, 6% 4.3% variance, respectively. Based model, genotypes G16, G19, G35, G30, G39, G24, G18 identified high-yielding high general adaptability. In contrast, G36, G27, G38, G9, G28, G29, G23, G34, G13, G12 most unstable studied analysis, mega-environments identified, G25, G17 also these Also, biplot diagram ideal genotype, G17, G35 nearest genotype. total, results various G16 G19 superior terms stability. These can be introduced climatic conditions areas.

Language: Английский

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Dissecting Genotype by Environment Interactions in Moroccan Wheat: An Advanced Biplot and Heatmap Analysis Unveiling Agronomic, Quality Traits, and Genotypic Stability for Tailored Breeding Strategies

Plants, Journal Year: 2024, Volume and Issue: 13(8), P. 1068 - 1068

Published: April 10, 2024

This five-year study (2016-2021) across diverse Moroccan agro-climatic zones investigated genotype by environment (G × E) interactions in wheat, focusing on variations agronomic traits and quality attributes such as protein gluten content. Significant environmental effects were observed key traits, like yield, thousand kernel weight (TKW), spikes per square meter (Spk/m

Language: Английский

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Yield Productivity of Sixteen Egyptian Bread Wheat Varieties Grown under Middle Egypt and West West El-Minya Conditions

Journal of Plant Production, Journal Year: 2023, Volume and Issue: 0(0), P. 283 - 293

Published: May 1, 2023

The present investigation was carried out at the experimental farm of Sids and West west El-Minya Research Stations to evaluate yield productivity 16 bread wheat varieties during two growing seasons 2018/2019 2019/2020.The design used a randomized complete block (RCBD) with three replicates.Four stress tolerance indices were calculated using grain under location as favorable environment environment.The genotype by trait GxT biplot graph automated compare in terms their multiple traits for each separately.Results showed significant differences among varieties, regions interaction most studied across seasons.The yields produced region slightly lower compared that indicating is promising future cultivation despite its conditions.It revealed Gemmeiza 9, 10, Giza 171 Shandaweel 1 had maximum regions.In addition, they recorded highest values four indices.It obvious 1, 171, Misr 2 reflected best performance while 14, Sakha 95 considered an easy effective visual interpret results.

Language: Английский

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Selection for High-Yielding adapted and Stable Wheat promising Lines in Egypt

Deleted Journal, Journal Year: 2022, Volume and Issue: 2(2), P. 96 - 117

Published: Dec. 1, 2022

Among breeding program, releasing a new genotype with the desired yield stability and high performance under different environments is main goal for wheat breeders.This study aimed to identify adaptability bread genotypes yielding resistance yellow rust disease.Thus, twelve field experiments were conducted 8 across 2 seasons (2019/2020 2020/2021) at 6 locations, viz.Skha, Etay-Elbaroud, Gemiza, Kafer El-Hamam, Matana Nubaria in randomized complete block design.The combined analysis of variance grain cleared significant effects (G), environment (E) GE interaction, accounting about 2.77%, 89.72%and 7.49% total variation, respectively.Additive effect multiplicative interaction (AMMI) confirmed first two IPCA's greatness environmental variation.Genotype plus (GGE) biplot showed mega-environments, had most winner stable G3 (Line 3) as well G1 1).Second megaenvironment contained only check varieties.GGE comparison, illustrated that was found be adaptable ideal all tested environments, then it should recommended wider adaptability.Three molecular markers used evaluate selected materials detecting presence rusts genes.Then, can program pyramid gene using Marker Assisted Selection (MAS).

Language: Английский

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