A comparative assessment of the significance various indicators breeding value bulls for predicting milk yield in highly productive herd farm economy "Alfa" was carried out. The cows, whose bulls-fathers were evaluated Ukraine and abroad, studied. It established that period from 2009 to 2014, first-calf heifers increased by 23.9 % reached 5894.3 kg. Accordingly, during specified period, most qu...

Purpose—knowing in advance vineyard yield is a critical success factor so growers and winemakers can achieve the best balance between vegetative reproductive growth. It also essential for planning regulatory purposes at regional level. Estimation errors are mainly due to high inter-annual spatial variability inadequate or poor performance sampling methods; therefore, improved applied methodolog...

The modern agriculture industry is data-centred, precise and smarter than ever. Advanced development of Internet-of-Things (IoT) based systems redesigned “smart agriculture”. This emergence in innovative farming gradually increases crop yields, reduces irrigation wastages making it more profitable. Machine learning (ML) methods achieve the requirement scaling performance model. paper introduces...

Genomic prediction is a routine tool in breeding programs of most major animal and plant species. However, its usefulness for potato breeding has not yet been evaluated in detail. The objectives of this study were to (i) examine the prospects of genomic prediction of key performance traits in a diversity panel of tetraploid potato modeling additive, dominance, and epistatic effects, (ii) invest...