Person: Crossa, J.
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Crossa
First Name
J.
Name
Crossa, J.
ORCID ID
0000-0001-9429-5855 4 results
Search Results
Now showing 1 - 4 of 4
- Grain yield and stability of white early maize hybrids in the highland valleys of Mexico(Crop Science Society of America (CSSA), 2017) Torres Flores, J.L.; Mendoza García, B.; Prasanna, B.M.; Alvarado Beltrán, G.; San Vicente Garcia, F.M.; Crossa, J.There is great interest in Mexico in reducing imports of grain and becoming self-sufficient in cereal production. Identifying high-yielding and stable maize (Zea mays L.) hybrids from different research institutions could contribute to increasing maize production in the highlands of Mexico. In this study, 16 early white maize hybrids were evaluated at 37 highland sites in several Mexican states with the objective of identifying high-yielding and stable hybrids, as well as high-yielding sites. Using the site regression model, it was possible to identify some outstanding hybrids (CHLHW09035, CHLHW02517, and HIBRIDO 2010) with acceptable grain yield production that were also stable across most of the 37 sites. Hybrids ST-010 and ASPROS-823 were less stable but produced acceptable yields. Sites with higher stability included Site 26 (Amealco, Queretaro), Site 7 (Epitacio Huerta, Michoacan), Site 37 (Tlachaloya, State of Mexico), Site 34 (Ciudad Hidalgo, Michoacan), and Site 29 (Metepec, State of Mexico). Other sites with satisfactory stability included Site 20 (Jilotepec, State of Mexico), Site 5 (Quecholac, Puebla), Site 6 (Huejotzingo, Puebla), Site 13 (Ajacuba, Hidalgo), and Site 19 (Santo Domingo, Oaxaca).
Publication - Genomic prediction with pedigree and genotype X environment interaction in spring wheat grown in South and West Asia, North Africa, and Mexico(Genetics Society of America, 2017) Sukumaran, S.; Crossa, J.; Jarquin, D.; Lopes, M.; Reynolds, M.P.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 flowering (TTF) in 18 international environments (year-location combinations) in major wheat-producing countries in 2010 and 2011. Prediction models with genomic and pedigree information included main effects and interaction with environments. Two random CV schemes were applied to predict a subset of lines that were not observed in any of the 18 environments (CV1), and a subset of lines that were not observed in a set of the environments, but were observed in other environments (CV2). Genomic prediction models, including genotype × environment (G×E) interaction, had the highest average prediction ability under the CV1 scenario for GY (0.31), GN (0.32), GW (0.45), and TTF (0.27). For CV2, the average prediction ability of the model including the interaction terms was generally high for GY (0.38), GN (0.43), GW (0.63), and TTF (0.53). Wheat lines in site-year combinations in Mexico and India had relatively high prediction ability for GY and GW. Results indicated that prediction ability of lines not observed in certain environments could be relatively high for genomic selection when predicting G×E interaction in multi-environment trials.
Publication - Pathogenicity and virulence of eight Fusarium graminearum isolates originating in four regions of Mexico(CIMMYT, 1998) Gilchrist-Saavedra, L.; Velazquez, C.; López, R.; Crossa, J.; Vargas Hernández, M.The expression of wheat (Triticum aestivum L.) host plant resistance to head blight caused by Fusarium graminearum Schw. varies widely, depending on environmental conditions (e.g., rainfall, temperature) and the inoculum used (age, concentration, incremental substrate, and isolate composition). It is important to have good control of these factors to avoid variation in the expression of resistance. However, controlling the inoculum applied is more complicated than it might seem at first glance. At present, a mixture of highly virulent pathogen isolates is commonly used as inoculum in screening wheat for head blight resistance in the belief that there are no vertical races in F. graminearum, as noted in the literature. There are, nonetheless, significant differences in pathogenicity among isolates that can greatly influence measurement of resistance levels (Mesterhazy, 1997). The authors of this study frequently observed differences in the response of varieties to the mixture of isolates used. This made them suspect the existence of significant cultivar x isolate interaction. They therefore initiated a preliminary study aimed at determining the cause of the observed differential in varietal response. The objective of the study was to evaluate the pathogenicity and virulence of F. graminearum isolates from different regions of Mexico on four resistant wheat cultivars.
Publication
