Advancing Climate-Resilient Sorghum: the Synergistic Role of Plant Biotechnology and Microbial Interactions DOI Creative Commons
Atul Kumar Srivastava, Aamir Riaz,

Junmei Jiang

и другие.

Rice, Год журнала: 2025, Номер 18(1)

Опубликована: Май 26, 2025

Язык: Английский

Leveraging Artificial Intelligence for Enhancing Wheat Yield Resilience Amidst Climate Change in Sub-Saharan Africa DOI
Petros Chavula, Fredrick Kayusi,

Linety Juma

и другие.

LatIA, Год журнала: 2025, Номер 3, С. 88 - 88

Опубликована: Фев. 19, 2025

The introduction of a deep learning-based method for non-destructive leaf area index (LAI) assessment has enhanced rapid estimation wheat and similar crops, aiding crop growth monitoring, water, nutrient management. Convolutional Neural Network (CNN)-based algorithms enable accurate, quantification seedling areas assess LAI across diverse genotypes environments, demonstrating adaptability. Transfer learning, known efficiency in plant phenotyping, was tested as resource-saving approach training the model. These advancements support breeding, facilitate genotype selection varied accelerate genetic gains, enhance genomic LAI. By capturing this can improve resilience to climate change. Additionally, advances machine learning data science better prediction distribution mapping global rust pathogens, major agricultural challenge. Accurate risk identification allows timely effective control measures. Moreover, lodging models using CNNs lodging-prone varieties, influencing decisions yield stability. artificial intelligence-driven techniques contribute sustainable enhancement, especially context change increasing food demand.

Язык: Английский

Процитировано

0

Comparative Analysis of Five African Traditional Multipurpose Crops Using a Food Systems Approach DOI Creative Commons
Sussy Munialo, Isabel Madzorera, Anna Lartey

и другие.

Food Reviews International, Год журнала: 2025, Номер unknown, С. 1 - 37

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0

Towards Soil Security: Understanding Soil Erosion Footprints and Their Implications in NSW DOI Creative Commons

Anilkumar Hunakuntim,

Alex B. McBratney, Budiman Minasny

и другие.

Soil Security, Год журнала: 2025, Номер unknown, С. 100184 - 100184

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

A Machine Learning Approach to Genome-Wide Association Mapping of Disease Resistance and Geographic Origin in Sorghum DOI
Ezekiel Ahn, Insuck Baek, Sunchung Park

и другие.

Опубликована: Апрель 18, 2025

Abstract Background Sorghum, often considered the fifth most important cereal crop globally, faces significant production constraints caused by various fungal diseases. Understanding genetic basis of disease resistance and adaptation to geographic origin is crucial for developing improved varieties. This study investigates these aspects in a diverse panel 377 sorghum accessions using machine learning-enabled genome-wide association (GWAS). Results The analyzed accessions, including mini core collection additional from Senegal. Phenotypic evaluation anthracnose, head smut, downy mildew was conducted on collection. Genotypic data comprising nearly 300,000 SNP markers were used GWAS with Bootstrap Forest models. While phenotypic clustering based did not directly correlate origin, differentiation observed origin. Machine learning-driven identified SNPs associated particularly chromosome 10, candidate genes transcription factors. near known or predicted roles plant defense resistance, such as zinc-binding proteins anthracnose LRR- NB-ARC-containing smut. Conclusions research provides insights into complex architecture sorghum. In addition previously resistant through traditional GWAS, offer valuable resources enhancing breeding programs marker-assisted selection other advanced techniques.

Язык: Английский

Процитировано

0

Environmental Impact on Grain Quality in Ethiopian Sorghum Landraces DOI Creative Commons
Chalachew Endalamaw,

Dagmawit Tsegaye,

Habte Nida

и другие.

Journal of Agriculture and Food Research, Год журнала: 2025, Номер 21, С. 101916 - 101916

Опубликована: Апрель 30, 2025

Язык: Английский

Процитировано

0

Advancing Climate-Resilient Sorghum: the Synergistic Role of Plant Biotechnology and Microbial Interactions DOI Creative Commons
Atul Kumar Srivastava, Aamir Riaz,

Junmei Jiang

и другие.

Rice, Год журнала: 2025, Номер 18(1)

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0