Evaluation of Genotype × Environment Interaction and Yield Stability of Cotton (Gossypium hirsutum L) Genotypes Under Heat Stress Conditions DOI
Iram Sharif, Saba Aleem, Jamshaid Ali Junaid

и другие.

Deleted Journal, Год журнала: 2024, Номер 77(1)

Опубликована: Дек. 20, 2024

The rising levels of CO2 and greenhouse gases in the atmosphere are proving to be a significant concern for cotton crops globally, particularly Pakistan. It is essential create resilient cultivars that can tolerate climatic change. However, identification heat-tolerant stable genotypes throughout growing season challenging task due environmental fluctuations. Moreover, quantitative nature heat tolerance, effect environment, presence G × E interaction also pose sudden challenges identifying genotypes. In this study, AMMI GGE biplot analyses were conducted compare grown under normal heat-stress conditions field. A comprehensive two-year study assessed effectiveness fifteen four distinct planting dates. involved sowing (E1 & E3) stress (E2 E4). This research aimed gather insightful data on how these various factors affect growth yield. combined analysis variance (ANOVA) was utilized investigate impact environment (E), genotype (G), their (G E) Results indicated all three significantly affected yield (P < 0.1%). Further revealed FH-504 FH-496 high-yielding with greater as determined by biplots. contrast, FH-452 identified ideal its high it recognized least E. biplots FH-Supper Cotton best excellent stability. Overall, studies provide important information about maximize performance circumstances. Observations have variations special general cultivation These findings E1 most suitable adaptability, while E2 particular adaptability stress. Additionally, both results consistent each other.

Язык: Английский

Impacts of climate change on cotton production and advancements in genomic approaches for stress resilience enhancement DOI Creative Commons
Muhammad Aamir Khan,

Saeed Anwar,

Mubashir Abbas

и другие.

Journal of Cotton Research, Год журнала: 2025, Номер 8(1)

Опубликована: Май 12, 2025

Abstract Cotton is an essential agricultural commodity, but its global yield greatly affected by climate change, which poses a serious threat to the agriculture sector. This review aims provide overview of impact change on cotton production and use genomic approaches increase stress tolerance in cotton. paper discusses effects rising temperatures, changing precipitation patterns, extreme weather events yield. It then explores various strategies, such as selection marker-assisted selection, can be used develop stress-tolerant varieties. The emphasizes need for interdisciplinary research efforts policy interventions mitigate adverse production. Furthermore, this presents advanced prospects, including gene editing, multi-omics integration, high-throughput phenotyping, data sharing, climate-informed breeding, phenomics-assisted enhancing resilience Those innovative assist researchers breeders developing highly resilient varieties capable withstanding challenges posed ensuring sustainable prosperous future

Язык: Английский

Процитировано

1
Abiotic Stress in Cotton: Insights into Plant Responses and Biotechnological Solutions DOI Creative Commons
Akshay Milind Patil, Bhausaheb Pawar, Sopan Ganpatrao Wagh

и другие.

Agriculture, Год журнала: 2024, Номер 14(9), С. 1638 - 1638

Опубликована: Сен. 19, 2024

Climate change has rapidly increased incidences of frequent extreme abiotic stresses, such as heat, drought, salinity, and waterlogging. Each these stressors negatively affects the cotton crop (Gossypium spp.) results in significant yield decreases. Every stressful event causes specific changes metabolism physiology plants, which are linked to complex molecular alterations. Understanding mechanisms that regulate a plant’s response stress is essential developing stress-resistant varieties can withstand various factors. Gene expressions multiple stresses have been studied mapped. These genes include ion transporters heat shock proteins, vital allowing adaptive responses. approaches showed ability employ advanced genome sequencing multi-omics techniques identify dynamic gene expression patterns elucidate intricate regulatory networks. Using genetic variation combination with techniques, it would be possible generate stress-resilient enable sustainable output face stresses. Here, we reviewed effects major on heavy metals, We also examine vast network genes, stress-sensitive signaling pathways help tolerate stress.

Язык: Английский

Процитировано

3
Proteome-based investigation of seeds from two Gossypium Hirsutum L. Genotypes DOI

Bushra Yaqub,

Asia Perveen,

Sheheryar Sheheryar

и другие.

South African Journal of Botany, Год журнала: 2025, Номер 180, С. 83 - 95

Опубликована: Март 9, 2025

Язык: Английский

Процитировано

0
Quantitative Genetic Analysis of Cotton Traits: GCA, Gene Action and Proportion of Variance via Line × Tester Design DOI

Aneeq ur Rehman,

Azeem Iqbal Khan, Iqrar Ahmad Rana

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

Abstract Background Cotton plant faces various biotic and abiotic stresses from its environment among these stresses, high temperature is a limiting factor to cotton productivity. The has increased gradually worldwide due climate change. Therefore, there dire need identify genotypes against stress. For this purpose, an experiment was designed resilient genotypes. hybrids were made on already identified parents under line × tester pattern then F0 seeds sown in two planting dates, early sowing for stress late control. Hybrid population assessed the basis of general combining ability. physiological parameters namely pollen germination, viability, CMT, biochemical assays proline, POD estimated according recommended protocol at onset flowering both conditions. Additionally, yield also observed harvesting. collected data analyzed by using biometrical approaches determine presence genetic diversity response treatments. Results results showed that significantly effect it critical role non-additive effects traits. interaction between L T vital achieving yield, especially high-temperature Combining ability assessment revealed three lines FH-Lalazar, AGC-999 VH-329 considered superior parental particularly These can be used make synthetic cultivar combat problem. Conclusion findings emphasized importance additive breeding programs, improving traits stress, suggest hybrid might most effective strategy enhancing environmental challenges.

Язык: Английский

Процитировано

0
Revolutionizing Cotton Cultivation: A Comprehensive Review of Genome Editing Technologies and Their Impact on Breeding and Production DOI Creative Commons
A. Thangaraj, Rashmi Kaul,

Shivani Sharda

и другие.

Biochemical and Biophysical Research Communications, Год журнала: 2024, Номер 742, С. 151084 - 151084

Опубликована: Ноя. 27, 2024

Язык: Английский

Процитировано

2
Harnessing genetic diversity in cotton for enhanced resilience against salt stress by using agro-physiological characters DOI Creative Commons
Muhammad Mubashar Zafar,

Aqsa Ijaz,

Zunaira Anwar

и другие.

Plant Production Science, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Дек. 14, 2024

Creating salt-tolerant genotypes is crucial for maximizing the productivity under salinized land. To evaluate genetic diversity salt tolerance, 35 diverse cotton accessions were screened 17 dS m−1 stress conditions using 20 agronomic and physiological traits relevant to tolerance. The general linear model analysis indicated significant salinity impacts across studied accessions, genotype × treatment effects also all parameters examined. Among accessions; CCB-1, CCB-2, CCB-28, CCB-3, CCB-4, Ghauri-1, JSQ-70, JSQ-71 showed considerably higher performance plant height, boll per plant, weight, lint percentage, seed yield fiber quality stress. Physiological traits, chlorophyll carotenoid contents, total soluble proteins, K+, K+/Na+ reduced saline conditions, while biochemical such as catalase, superoxide dismutase, peroxidase, H2O2 MDA level increased. CCB-17, CCB-18, CCB-19, CCB-20, CCB-21, CCB-22, Hatf-3, Badar-1, Eagle-2, Eagle-4, CCB-23, CCB-24, CCB-25, CCB-26 CCB-28 exhibited lower values agro-physiological character respectively, signifying their sensitivity Under salinity, these antioxidant levels increased K+/Na+, Na+, H2O2, contents. Whereas CCB-5, CCB-6, CCB-7, CCB-8, CCB-9, CCB-10, CCB-11, CCB-12, CCB-13, CCB-14, CCB-15, CCB-16 demonstrated moderate respectively. Utilizing multivariate techniques (cluster PCA), have been categorized into three groups based on traits: tolerant (cluster-1), moderately (cluster-2), susceptible (cluster-3) conditions.

Язык: Английский

Процитировано

0
Evaluation of Genotype × Environment Interaction and Yield Stability of Cotton (Gossypium hirsutum L) Genotypes Under Heat Stress Conditions DOI
Iram Sharif, Saba Aleem, Jamshaid Ali Junaid

и другие.

Deleted Journal, Год журнала: 2024, Номер 77(1)

Опубликована: Дек. 20, 2024

The rising levels of CO2 and greenhouse gases in the atmosphere are proving to be a significant concern for cotton crops globally, particularly Pakistan. It is essential create resilient cultivars that can tolerate climatic change. However, identification heat-tolerant stable genotypes throughout growing season challenging task due environmental fluctuations. Moreover, quantitative nature heat tolerance, effect environment, presence G × E interaction also pose sudden challenges identifying genotypes. In this study, AMMI GGE biplot analyses were conducted compare grown under normal heat-stress conditions field. A comprehensive two-year study assessed effectiveness fifteen four distinct planting dates. involved sowing (E1 & E3) stress (E2 E4). This research aimed gather insightful data on how these various factors affect growth yield. combined analysis variance (ANOVA) was utilized investigate impact environment (E), genotype (G), their (G E) Results indicated all three significantly affected yield (P < 0.1%). Further revealed FH-504 FH-496 high-yielding with greater as determined by biplots. contrast, FH-452 identified ideal its high it recognized least E. biplots FH-Supper Cotton best excellent stability. Overall, studies provide important information about maximize performance circumstances. Observations have variations special general cultivation These findings E1 most suitable adaptability, while E2 particular adaptability stress. Additionally, both results consistent each other.

Язык: Английский

Процитировано

0