Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven genomic prediction models under two cross-validation (CV) scenarios were tested on 287 advanced elite spring wheat lines phenotyped for grain yield (GY), thousand-grain weight (GW), grain number (GN), and thermal time for flow...

To introduce new genetic diversity into the bread wheat gene pool from its progenitor, Aegilops tauschii (Coss.) Schmalh, 33 primary synthetic hexaploid wheat genotypes (SYN) were crossed to 20 spring bread wheat (BW) cultivars at the International Wheat and Maize Improvement Center. Modified single seed descent was used to develop 97 populations with 50 individuals per population using first b...

Genomic selection can be applied prior to phenotyping, enabling shorter breeding cycles and greater rates of genetic gain relative to phenotypic selection. Traits measured using high-throughput phenotyping based on proximal or remote sensing could be useful for improving pedigree and genomic prediction model accuracies for traits not yet possible to phenotype directly. We tested if using aerial...

Genomic and pedigree predictions for grain yield and agronomic traits were carried out using high density molecular data on a set of 803 spring wheat lines that were evaluated in 5 sites characterized by several environmental co-variables. Seven statistical models were tested using two random cross-validations schemes. Two other prediction problems were studied, namely predicting the lines' per...

crop yields are dependent on a number of factors such as soil type, weather conditions and farming practices. crop yield estimates in different soil types are required to meet the needs of farmers, land appraisers, and governmental agencies in iran as around the world. this study was conducted to model the wheat-grain yields [triticum aestivum l.]  by soil properties in khoy area, the north-wes...

In this study, a regional winter wheat yield prediction method was developed by integration of time series of Moderate-Resolution Imaging Spectroradiometer MODIS LAI products (MOD15A2) with WOrld FOod STudies (WOFOST) model through Ensemble Kalman Filter (EnKF) algorithm at the regional scale in the Hengshui District, Hebei province in China. WOFOST model was selected as the crop growth dynamic...

the measurement of wheat crop yield in large areas is time consuming and requires high expenses. one way to save time and cost, using geostatistical methods for mapping crop yield. in this research principle component analysis were used for identifying variables that have correlation with each other, and kriging and cokriging were used to map crop yield prediction. fourty six samples were used ...

knowledge of traits associated with drought tolerance would be useful for developing breeding materials fortarget environments. to study these traits, 119 spring durum wheat breeding lines (bls) from the international maize and wheat improvement center (cimmyt) were evaluated along with local checks (one modern cultivar and three landraces) in three experiments under terminal and non-terminal d...

climate change is a phenomenon that has made the most concern in communities and decision making centers. this phenomenon has important effects on different aspects of human life. one of the most important crops that are affected by climate change is wheat. accordingly, data and information of northern khorasan have been used to study the effects of climate change on rain-fed wheat yield. for t...

A system of midseason prediction of winter wheat grain yield based on sensed plant growth properties has been established. However, little research has been conducted to determine the relationship of grain yield, sensed plant data, and soil electrical conductivity (EC). This study was carried out to determine if soil EC could be useful in better predicting wheat grain yield. During 2001 and 200...