Unraveling Genetic Variation and Inheritance Patterns in Newly Developed Maize Hybrids for Improving Late Wilt Disease Resistance and Agronomic Performance Under Artificial Inoculation Conditions DOI Creative Commons
Nasr Ghazy,

Mayasar I. Al‐Zaban,

Fatmah Ahmed Safhi

и другие.

Life, Год журнала: 2024, Номер 14(12), С. 1609 - 1609

Опубликована: Дек. 5, 2024

Late wilt disease caused by the fungal pathogen Magnaporthiopsis maydis represents a major threat to maize cultivation in Mediterranean region. Developing resistant hybrids and high-yielding offers cost-effective environmentally sustainable solution mitigate yield losses. Therefore, this study evaluated genetic variation, combining abilities, inheritance patterns newly developed twenty-seven for grain resistance late under artificial inoculation across two growing seasons. The results indicated highly significant variations among assessed all measured traits. Combining ability analysis identified IL-306, IL-304, IL-303 as excellent combiners resistance, positioning them superior candidates hybrid development. Additionally, IL-302 was strong general combiner earliness, IL-307 IL-309 demonstrated potential producing short-statured critical improving lodging tolerance maximizing yield. Specific effects promising yield, disease-resistance hybrids, including IL-303×T2 IL-306×T1. GGE biplots presented optimal line×tester combinations, offering strategic guidance principal component associations between key agronomic traits, such ear length kernel number. observed robust positive association attributes suggests selection productivity. Moreover, genotypic correlations revealed that earlier silking, taller plants, higher counts were strongly linked enhanced potential. Genetic parameter estimates predominance of non-additive most with moderate high broad-sense heritability suggesting substantial contributions phenotypic variance. This research provides valuable insights support development disease-resistant addressing food security challenges.

Язык: Английский

Synergistic effects of clove fruit extract and nano-silicon to enhance drought resilience and productivity of soybean through improved plant defense mechanisms DOI Creative Commons
El‐Sayed M. Desoky, Mohsin Mahmood, Di Feng

и другие.

BMC Plant Biology, Год журнала: 2025, Номер 25(1)

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

1

Exploring molecular variation and combining ability of local and exotic bread wheat genotypes under well-watered and drought conditions DOI Creative Commons
Mohamed I. Motawei, Mohamed M. Kamara, Medhat Rehan

и другие.

PeerJ, Год журнала: 2025, Номер 13, С. e18994 - e18994

Опубликована: Фев. 27, 2025

Drought is one of the most environmental stressors, significantly affecting wheat production, particularly in face accelerating climate change. Therefore, developing drought-resistant, high-yielding varieties essential to ensure sustainable production and maintain global food security as world population rapidly grows. This study aimed evaluate genetic variation local imported bread genotypes through simple sequence repeat (SSR) markers assess their combining ability identify top-performing under both normal drought-stress environments. SSR revealed significant diversity among parental genotypes, which were utilized develop 28 F1 crosses utilizing diallel mating design. Field trials well-watered drought-stressed environments demonstrated that drought reduced all measured agronomic traits. The categorized into five clusters based on tolerance, ranging from highly sensitive (group-E) robustly drought-resistant (group-A). variety Sids-12 (P2) was identified an excellent combiner for breeding shorter early-maturing cultivars Line-117 (P3), Line-144 (P4), Line-123 (P5) improving grain yield related traits conditions. P1×P5, P3×P8, P4×P5, P6×P7 possessed superior performance Key traits, including plant height, grains per spike, 1,000-grain weight, spikes plant, displayed strong correlations with yield, providing effective approach indirect selection drought-prone

Язык: Английский

Процитировано

0

Genetic variability and trait associations for physiological and agronomic characteristics in bread wheat genotypes under drought stress and well-watered conditions DOI Creative Commons
Mohammed O. Alshaharni, Fatmah Ahmed Safhi,

Nora M. Al Aboud

и другие.

PeerJ, Год журнала: 2025, Номер 13, С. e19341 - e19341

Опубликована: Май 16, 2025

Drought is a critical abiotic stress significantly reducing global wheat production, especially under climate fluctuations. Investigating genetic variability using physiological and agronomic characteristics essential for advancing breeding to enhance drought resilience ensure sustainable production in light of population growth. The diversity associations among traits fourteen diverse genotypes bread drought-stressed well-watered conditions were studied, focusing on responses. Significant variations detected irrigation regimes, genotypes, their interactions all assessed characteristics. substantially declined chlorophyll (Chl a) b b), net photosynthetic rate (NPR), transpiration (Tr), stomatal conductance (gs), membrane stability index (MSI), relative water content (RWC), plant height (PH), yield-related attributes, grain yield. Conversely, it increased malondialdehyde content, proline (ProC), activities antioxidant enzymes, including catalase (CAT), ascorbate peroxidase (APX) superoxide dismutase (SOD). G3 (L-1117), G8 (L-120), G12 (L-1142) exhibited superior tolerance, maintaining high efficiency, RWC, enzyme activity, Under conditions, these achieved yields 6.32 t/ha (G8), 5.97 (G12), 5.84 (G3), surpassing the other genotypes. Genotypic classification tolerance indices confirmed superiority G3, G8, as drought-resilient candidates, while G2, G5, G7, G14 lower adaptability. analysis (additive main effects multiplicative interaction (AMMI) ranking biplot) indicated that G6, highly stable across environments, making them promising candidates programs. Agronomic such PH, number grains per spike (NGPS), thousand kernel weight (TKW) positively associated with tolerance. Furthermore, multivariate analyses, principal component (PCA), correlation, path analysis, highlighted significance MSI, enzymes sustaining yield stress. Broad-sense heritability estimates key drought-related traits, particularly APX, SOD, NGPS, indicating strong potential selection. These findings importance integrating biochemical markers into programs develop high-yielding drought-tolerant varieties, contributing water-limited conditions.

Язык: Английский

Процитировано

0

Gene expression study of durum wheat hybrids under water deficit conditions DOI Creative Commons

A. Mohsen,

Khaled A. M. Khaled,

Ayman H. A. Mahdi

и другие.

Beni-Suef University Journal of Basic and Applied Sciences, Год журнала: 2025, Номер 14(1)

Опубликована: Май 30, 2025

Abstract Background The present study was conducted at the CerealMed project farm during 2021–2022 and 2022–2023 growing seasons using a strip plot design with two replications. objective to evaluate durum wheat hybrids six cultivars as parents under normal irrigation water deficit stress. aimed assess tolerance of stress, develop new tolerant hybrids, detect gene expressions start codon-targeted (SCoT) markers. traits studied included grain weight per plant, number spikes kernels spike, 1000-kernel weight. Results most parent genotypes stress were BENI-SUEF 1 (56.98 g/plant), 6 (46.31 7 (45.54 SOHAG 5 (45.52 g/plant). × (55.33 g/plant) 4 (50.16 based on LSD 5%. SCoT analysis revealed variations in expression patterns among different response Conclusion This highlighted utility markers analyzing genetic basis drought wheat. By identifying (like TaBTF3 for primer1) , provided deeper understanding complex mechanisms underlying plant responses best (BENI-SUEF 1, 6, 7, 5) are recommended use breeding programs targeting Selection segregating populations will be effective 4.

Язык: Английский

Процитировано

0

Unraveling Genetic Variation and Inheritance Patterns in Newly Developed Maize Hybrids for Improving Late Wilt Disease Resistance and Agronomic Performance Under Artificial Inoculation Conditions DOI Creative Commons
Nasr Ghazy,

Mayasar I. Al‐Zaban,

Fatmah Ahmed Safhi

и другие.

Life, Год журнала: 2024, Номер 14(12), С. 1609 - 1609

Опубликована: Дек. 5, 2024

Late wilt disease caused by the fungal pathogen Magnaporthiopsis maydis represents a major threat to maize cultivation in Mediterranean region. Developing resistant hybrids and high-yielding offers cost-effective environmentally sustainable solution mitigate yield losses. Therefore, this study evaluated genetic variation, combining abilities, inheritance patterns newly developed twenty-seven for grain resistance late under artificial inoculation across two growing seasons. The results indicated highly significant variations among assessed all measured traits. Combining ability analysis identified IL-306, IL-304, IL-303 as excellent combiners resistance, positioning them superior candidates hybrid development. Additionally, IL-302 was strong general combiner earliness, IL-307 IL-309 demonstrated potential producing short-statured critical improving lodging tolerance maximizing yield. Specific effects promising yield, disease-resistance hybrids, including IL-303×T2 IL-306×T1. GGE biplots presented optimal line×tester combinations, offering strategic guidance principal component associations between key agronomic traits, such ear length kernel number. observed robust positive association attributes suggests selection productivity. Moreover, genotypic correlations revealed that earlier silking, taller plants, higher counts were strongly linked enhanced potential. Genetic parameter estimates predominance of non-additive most with moderate high broad-sense heritability suggesting substantial contributions phenotypic variance. This research provides valuable insights support development disease-resistant addressing food security challenges.

Язык: Английский

Процитировано

1