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"El modelo CERES-MAIZE, simula en maíz (Zea mays L) el crecimiento, desarrollo y balance hídrico en el suelo en función de condiciones diferentes de manejo del cultivo y ambiente. Este modelo puede utilizarse como herramienta para apoyar las decisiones de planificación de actividades de investigación, la evaluación de estrategias productivas y los pronósticos del rendimiento del cultivo. El objetivo de esta investigación fue calibrar y validar el modelo CERES – Maize, del software DSSAT, para la variedad ASGROW 7573, para simular con alta confiabilidad el crecimiento y desarrollo de este cultivo bajo cinco regímenes de riego. El estudio se realizó en la Universidad Autónoma Agraria Antonio Narro de junio a octubre del 2016. El experimento se estableció con un diseño de bloques completamente al azar, cinco tratamientos de riego con cuatro repeticiones. Los coeficientes genéticos específicos que definen el desarrollo y crecimiento para esta variedad (P1, P2, P5, G2, G3 y PHINT), se obtuvieron para el tratamiento de manejo hídrico óptimo y se validaron. La evaluación del modelo mostró que simula bien los días a la emergencia, floración y madurez fisiológica, la diferencia porcentual con respecto a los valores observados estuvo dentro de un rango de (-7.3 % a 6.2 %), los coeficientes de correlación entre valores observados y medidos fueron elevados para la materia seca total aérea (r2 0.96 – 0.98), índice de área foliar (r2 0.93 – 0.98) y materia seca de tallo (r2 0.85 – 0.90), el modelo no tuvo la capacidad de simular los efectos del estrés hídrico en la etapa de llenado de grano, por tal razón sobrestimó el rendimiento de grano en los tratamientos que tuvieron mayor estrés hídrico en esta etapa. El modelo DSSAT tiene la capacidad de simular y validar de forma aceptable fenología, materia seca total e índice de área foliar para este sitio y en estas condiciones del cultivo."
"The CERES-MAIZE model simulates maize (Zea mays L) growth, development and water balance in the soil as a function of different conditions of crop management and environment. This model can be used as a tool to support planning decisions for research activities, evaluation of productive strategies and crop yield forecasts. The objective of this research was to calibrate and validate the CERES - Maize model of the DSSAT software, for the variety ASGROW 7573 to simulate with high reliability the growth and development of this crop under five irrigation regimes. The study was conducted at the Universidad Autónoma Agraria Antonio Narro from June to October 2016. The experiment was established with a completely randomized block design, five irrigation treatments with four replicates. The specific genetic coefficients that define development and growth for this variety (P1, P2, P5, G2, G3 and PHINT) were obtained for the treatment of optimal water management and were validated. The evaluation of the model showed that it simulates the days to emergence, flowering and physiological maturity, the percentage difference with respect to the values observed was within a range of (-7.3% to 6.2%), correlation coefficients between observed values (r2 0.96 - 0.98), leaf area index (r2 0.93 - 0.98) and stem dry matter (r2 0.85 - 0.90), the model did not have the capacity to simulate the effects of Water stress in the stage of grain filling, for that reason overestimated the grain yield in the treatments that had greater water stress at this stage. The DSSAT model has the ability to simulate and validate acceptable phenology, total dry matter and leaf area index for this site and under these crop conditions."
Winter season maize (Zea mays L.) has emerged a new crop in many parts of South and South east Asia, where the crop has to face low temperature regimes (<5°C) for few weeks during vegetative growth stage. The objective of this study was to identify the morphological and physiological traits associated with cold stress tolerance during vegetative growth period, when maximum dry matter is accumulated and floral primodia are formed. A total of 80 cultivars, including hybrids and open pollinated varieties (OPVs) from International Maize and Wheat Improvement Center (CIMMYT) and Indian maize program were evaluated in replicated trials at Indian Agricultural Research Institute (IARI), New Delhi and at Regional Research Station, Haryana Agriculture University, Karnal, India during the winter season, where critical period of vegetative growth and floral primodia developmental stage was exposed to <10°C temperature. Data on various growth and developmental traits and key physiological traits were recorded during the low temperature regime. Except ears per plant and physiological maturity, the cold stress significantly affected all the growth and developmental traits and also physiological traits studied. However, significant genotypic variability was observed for most of the traits studied. Genotypes with relatively high leaf appearance and extension rate, less cold injury symptoms and cell membrane damage showed good level of cold tolerance in terms of reproductive behavior and eventually grain yield under cold stress. These secondary traits could be used in selection index along with days to anthesis, anthesis-silking interval (ASI) and grain yield for selection and improvement of tropical maize for low temperature adaptation.
Dagne Wegary Gissa (2015)
Quality protein maize (QPM) cultivars contain higher levels of lysine and tryptophan as compared to non-QPM counterparts, and can minimize the risk of protein malnutrition among communities increasingly dependent on maize as their food staple. This study was undertaken to assess the performances of QPM hybrids, and estimate heterosis and combining ability effects of highland QPM inbred lines for grain yield, agronomic and protein quality traits. Hybrids of 20 inbred lines and two testers, and the parental lines were evaluated across three locations in Ethiopia. Significant variations were observed among the parents and the hybrids for almost all measured traits that allows the selection of preferred inbred lines and hybrids. Several hybrids showed desirable heterosis for most studied traits. Mean squares attributable to general (GCA) and specific (SCA) combining ability effects were significant for most traits. However, the contributions of GCA sum of squares to the variation among the hybrids were larger than SCA sum of squares, suggesting that the traits were conditioned mainly by additive gene effects. Inbred lines L12, L17, L19, and L20 had desirable GCA effects for grain yield, whereas L12 and L13 were the best general combiners for protein quality traits. Hybrids L17 x 142-1eQ and L20 x 142-1-eQ showed most desirable perse performances and SCA effects for grain yield. Based on grain yield SCA effects, most inbred lines used in the study were grouped into distinctive heterotic patterns. This study indicated the possibility of developing highland QPM germplasm with acceptable grain yield, agronomic and protein quality traits.
Yunbi Xu (2017)
Waterlogging has increasingly become one of the major constraints to maize productivity in some maize production zones because it causes serious yield loss. Bulked segregant RNA-seq (BSR-seq) has been widely applied to profile candidate genes and map associated Single Nucleotide Polymorphism (SNP) markers in many species. In this study, 10 waterlogging sensitive and eight tolerant inbred lines were selected from 60 maize inbred lines with waterlogging response determined and preselected by the International Maize and Wheat Improvement Center (CIMMYT) from over 400 tropical maize inbred lines. BSR-seq was performed to identify differentially expressed genes and SNPs associated with waterlogging tolerance. Upon waterlogging stress, 354 and 1094 genes were differentially expressed in the tolerant and sensitive pools, respectively, compared to untreated controls. When tolerant and sensitive pools were compared, 593 genes were differentially expressed under untreated and 431 genes under waterlogged conditions, of which 122 genes overlapped. To validate the BSR-seq results, the expression levels of six genes were determined by qRT-PCR. The qRT-PCR results were consistent with BSR-seq results. Comparison of allelic polymorphism in mRNA sequences between tolerant and sensitive pools revealed 165 (normal condition) and 128 (waterlogged condition) high-probability SNPs. We found 18 overlapping SNPs with genomic positions mapped. Eighteen SNPs were contained in 18 genes, and eight and nine of 18 genes were responsive to waterlogging stress in tolerant and sensitive lines, respectively. Six alleles of the 18 originated from tolerant pool were significantly up-regulated under waterlogging, but not those from sensitive pool. Importantly, one allele (GRMZM2G055704) of the six genes was mapped between umc1619 and umc1948 on chromosome 1 where a QTL associated with waterlogging tolerance was identified in a previous research, strongly indicating that GRMZM2G055704 is a candidate gene responsive to waterlogging. Our research contributes to the knowledge of the molecular mechanism for waterlogging tolerance in maize.
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 back-cross, biparental, and three-way crosses. Individuals from each cross were selected for short stature, early heading, flowering and maturity, minimal lodging, and free threshing. Yield trials were conducted under irrigated, drought, and heat-stress conditions from 2011 to 2014 in Ciudad Obregon, Mexico. Genomic estimated breeding values (GEBVs) of parents and synthetic derived lines (SDLs) were estimated using a genomic best linear unbiased prediction (GBLUP) model with markers in each trial. In each environment, there were SDLs that had higher GEBVs than their recurrent BW parent for yield. The GEBVs of BW parents for yield ranged from -0.32 in heat to 1.40 in irrigated trials. The range of the SYN parent GEBVs for yield was from -2.69 in the irrigated to 0.26 in the heat trials and were mostly negative across environments. The contribution of the SYN parents to improved grain yield of the SDLs was highest under heat stress, with an average GEBV for the top 10% of the SDLs of 0.55 while the weighted average GEBV of their corresponding recurrent BW parents was 0.26. Using the pedigree-based model, the accuracy of genomic prediction for yield was 0.42, 0.43, and 0.49 in the drought, heat and irrigated trials, respectively, while for the marker-based model these values were 0.43, 0.44, and 0.55. The SYN parents introduced novel diversity into the wheat gene pool. Higher GEBVs of progenies were due to introgression and retention of some positive alleles from SYN parents.
In vivo haploid induction in high frequency followed by efficient identification of haploids are important components of deriving completely homozygous doubled haploid (DH) lines in maize. Several genetic marker systems were proposed and/or used for identification of in vivo maternal haploids in maize, such as R1-nj (Navajo), high oil, red root and transgenic markers. In this study, we propose a new method of haploid/diploid identification based on natural differences in seedling traits of haploids and diploids, which can be used in any induction cross independently of the genetic marker systems. Using confirmed haploids and diploids from five different populations, the study established that haploid and diploid seedlings exhibit significant differences for seedling traits, particularly radicle length (RL), coleoptile length (CL), and number of lateral seminal roots (NLSR). In six populations that exhibited complete inhibition of the commonly used R1-nj (Navajo) marker, we could effectively differentiate haploids from diploids by visual inspection of the seedling traits. In the haploid seed fraction identified based on R1-nj marker in ten populations, false positives were reduced several-fold by early identification of haploids at seedling stage using the seedling traits. We propose that seedling traits may be integrated at the haploid identification stage, especially in populations that are not amenable to use of genetic markers, and for improving the efficiency of DH line production by reducing the false positives.
Maize (Zea mays L.) yield in sub-Saharan Africa (SSA) is low because of both abiotic and biotic constraints, and limited availability or use of improved seed in some areas. This study was conducted (i) to estimate combining ability and heterosis among seven stress-tolerant populations, and (ii) to assess diversity among the populations and the relationship between diversity and heterosis. Twenty-one hybrids developed from diallel crosses of seven populations, parents, and two checks were evaluated in 10 optimal and 11 stressed environments (drought, low N, and random stress) in Kenya, Ethiopia, Uganda, and Zimbabwe for 2 yr. Analysis II of Gardner and Eberhart showed that variety and heterosis were significant for grain yield (GY) under optimal and managed stress, and across environments. Heterosis accounted for most of the variation for GY among populations under optimal conditions (67%) and drought stress (53%), which suggested the importance of dominance in inheritance of GY under these conditions. Genetic distance (GD) among populations ranged from 0.328 to 0.477 (mean = 0.404). The correlation between GD and heterosis was low (r = 0.14-0.40) in all environments. The simple sequence repeat (SSR) marker-based and GY-based clustering of parental populations showed similar patterns, with three populations distinct from the rest, suggesting significant differentiation of allelic variation in these three populations. The SSR-based diversity and phenotypic analysis results should be useful in defining breeding strategies and maintaining heterotic patterns among these populations.
Root-knot nematodes ‘Meloidogyne spp’ are the most destructive group of plant parasitic nematodes causeing serious losses in vegetables crops and this damages worsened when crops grown under greenhouses conditions. In this sutdy, the distribution and characterization of root-knot nematode species collected from the Souss region of Morocco where vegetables crops intensively cultivated were determined by using both morphological and molecular tools. Out of the 110 samples collected from different greenhouses 91 (81.7%) were found to be infested with root-knot nematodes. Thirty-seven populations of root-knot nematodes were morphologically identified based on perineal patterns as well as molecularlly using species-specific primers. The obtained results indicated that Meloidogyne javanica and M. incognita were identified in 86.4% and 13.5% of the total populations, respectively. The lowest incidence of root-knot nematodes (64%) was found in Toussous, whereas the highest frequencies of 100% and 90% were detected in Taddart and Biogra, respectively. As the majority of the samples have been infested with Meloidogyne species; this indicates that there is an urgent need to provide farmers with a proper control strategy.
Plant nematodes Vegetable crops Meloidogyne Occurrence Perineal Patterns Root-Knot Nematode Vegetables AGRICULTURAL SCIENCES AND BIOTECHNOLOGY PUCCINIA SORGHI GENOMES MAIZE CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA
Ephraim Nkonya (1998)
The impact of maize research and extension in Tanzania's Northern Zone during the past 20 years was evaluated through a formal survey in 1995. Data were grouped into two major agroecological zones: the intermediate and the lowland sub-zones. Sample farmers were also categorized based on land preparation method. A two-step Heckman's procedure was used to simultaneously analyze factors affecting adoption of improved maize seed and inorganic fertilizer. The study found that demand for composite seed was less than that for hybrids, although the National Maize Research Program had released more composites, which can be recycled. Farming experience was the only factor that significantly influenced the probability of adoption improved maize in the intermediate zone. No factor significantly influenced intensity of adoption of improved seed. About 80% of farmers recycled improved varieties, including hybrids, contrary to recommendations. The rate of adoption of chemical fertilizers was low, influenced only by the number of livestock units. No farm characteristic influenced intensity of fertilizer adoption. Recommendations on fertilizer placement were poorly followed, which magnifies the negative impact of the poor management of crop residues in the zone. Formal credit is not available to maize farmers; with rising input prices, this dynamic will become more critical. Adoption of recommendations on land preparation, frequency and timing of weeding and fertilizer application, and plant spacing have been successfully adopted in both zones. Recommendations based on survey results include the development of additional hybrids for the Northern Zone and/or village level production of composite seed; research on the economics of recycling improved varieties (including both composites and hybrids); more research and extension effort direct toward efficient use of fertilizers (manure, chemical fertilizer, and crop residues); and encouraging measures by banks and policy markers to make credit more available to small maize farmers with high rate of loan recovery and low cost of administration.
Northern corn leaf blight (NCLB) caused by Exserohilum turcicum is a destructive disease in maize. Using host resistance to minimize the detrimental effects of NCLB on maize productivity is the most cost-effective and appealing disease management strategy. However, this requires the identification and use of stable resistance genes that are effective across different environments. Results: We evaluated a diverse maize population comprised of 999 inbred lines across different environments for resistance to NCLB. To identify genomic regions associated with NCLB resistance in maize, a genome-wide association analysis was conducted using 56,110 single-nucleotide polymorphism markers. Single-marker and haplotype-based associations, as well as Anderson-Darling tests, identified alleles significantly associated with NCLB resistance. The single-marker and haplotype-based association mappings identified twelve and ten loci (genes), respectively, that were significantly associated with resistance to NCLB. Additionally, by dividing the population into three subgroups and performing Anderson-Darling tests, eighty one genes were detected, and twelve of them were related to plant defense. Identical defense genes were identified using the three analyses. Conclusion: An association panel including 999 diverse lines was evaluated for resistance to NCLB in multiple environments, and a large number of resistant lines were identified and can be used as reliable resistance resource in maize breeding program. Genome-wide association study reveals that NCLB resistance is a complex trait which is under the control of many minor genes with relatively low effects. Pyramiding these genes in the same background is likely to result in stable resistance to NCLB.