Drought is a major factor limiting maize (Zea mays L.) yield in much of the world. The need to breed maize cultivars with improved drought tolerance is apparent. This study compared two maize populations, ZM601 and ZM607 for drought tolerance during flowering, the most drought-vulnerable period for the maize plant. Cultivar ZM601 had been improved through recurrent selection for two cycles for ...

the genetic parameters for milk production and milk fat traits for first to third parities were estimated using single, multi trait and repeatability models. the genetic parameters for test day milk records were also estimated using random regression model. the test day records and 305 day milk records of 17055 cows from 10 herds collected between years 1996-2007 in khorasan razavi province wer...

the fixed regression test-day model (frm) and random regression test-day model (rrm) for genetic evaluation of milk yield trait of dairy cattle in khorasan razavi province were studied. breeding values and genetic parameters of milk yield trait from two models were compared. a total of 164391 monthly test day milk records (three times milking per day) obtained from 19217 holstein cows distribut...

Six different distance determination methods of Virgo cluster members yield a mean distance modulus of (m−M)Virgo = 31.60±0.09 (20.9±0.9 Mpc). This value can be carried out to ∼ > 10 000 km s−1 by means of 31 clusters whose distances are well known relative to the Virgo cluster. They yield H0 = 56± 4 (random error) ±6 (systematic error), independent of local streaming motions.

Finnish genetic evaluation of dairy cattle is based on test-day (TD) yields, applying a multiple-trait random regression TD model. The model considers the first lactation milk, protein, and fat yield, plus the later lactation milk, protein, and fat yield as different traits, where all the later lactations are modelled as repeated observations (Lidauer et al., 2000). Currently, yields are scaled...

A model for investigation of the optimal economic life cycle of grass leys with winter damage problems in northern Norway and the threshold of winter damage before it is profitable to reseed grasses is presented. A 2-level hierarchic Markov process has been constructed using the MLHMP software. The model takes uncertainty concerning the yield potential, damage estimation and weather dependent r...

As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and global trade market. Most variation in attributed to environmental factors such as climate conditions, soil type cultivation practices. Artificial neural networks (ANNs) random forest regression (RFR) are machine learning tools that used unambiguously crop prediction. There li...

A new strategy for allocating area, at layout, for enhancing the soft yield of R-2R ladders is introduced. In contrast to the conventional and convenient approach of allocating equal area to each R/2R bit-slice, the new strategy allocates progressively larger areas to higher-order bits. With this strategy, the INL yield for a fixed total resistor area as determined by local random variations in...