On‐farm storage facilities can be useful in satisfying the variable diurnal irrigation demand during a day and, at the same time, can prevent waste of water. In this study, an irrigation pond (IP) model is developed for the determination of required minimum storage capacity at a desired reliability level with a given intake operating rule to meet the fluctuating water demands. This IP model is applied to determine the storage capacities of several lateral canals of the Mae‐Taeng Irrigation Project in Chiang Mai Province, Thailand. Simulations are carried out to analyze effects of different cropping patterns and hourly irrigation demand patterns at various reliability levels on the storage capacities of irrigation ponds. The determined storage capacities of irrigation ponds for various lateral canals having different cropping patterns varies from about 1,870m3 to 2,525m3 for a 100 ha command area at 90% reliability. It is observed that introduction of on‐farm irrigation ponds can reduce both water waste an...

The development of stable and high-yielding fodder pearl millet genotypes with improved quality traits is crucial for enhancing livestock productivity under diverse environments. In this study, twenty-six elite genotypes, including brown midrib (bmr) lines and two check cultivars, were evaluated across four locations, which fall broadly under two agro-climatic zones of India, during the summer season of 2024 to assess their stability for yield and fodder quality traits. Significant genotypic differences and genotype × environment interactions (GEIs) were observed for all traits, indicating substantial genetic variability and environmental influence on trait expression. Additive Main Effects and Multiplicative Interaction (AMMI) and Weighted Average of Absolute Scores (WAAS) analyses identified IGPM 100 as a high-yielding and stable genotype across environments, whereas Baif Bajra 1 and IGBV 97 exhibited specific adaptation. Among quality traits, ICMbmr 2401, ICMbmr 2402, and ICMbmr 2404 recorded consistently low lignin content, confirming their potential for improving forage digestibility. Further, ICFPM 05 recorded high tillering and longer leaves, while ICMFV 2308 exhibited late flowering across locations, indicating their potential for use in developing leafy, late-flowering genotypes. The multi-trait stability index (MTSI) efficiently identified IGPM 100, ICFPM 02, ICMbmr 2404, and IGBV 9 as superior and stable genotypes across multiple traits. High selection differentials for green fodder yield and negative differentials for lignin and fibre fractions highlight the possibility of a simultaneous improvement in yield and quality traits. Overall, the integration of AMMI, WAAS, and MTSI models facilitated the identification of broadly adapted and trait-specific genotypes, which, after evaluating their combining ability, can be used for developing fodder pearl millet composites and hybrids.