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1114 research outputs found
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Genotypic data for the IND296 panel
No full textGBS genotypic data for an Indian panel with 296 common wheat accessions
Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
No full textThis study provides supplemental data to support the study on Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy
Genetic diversity, population structure and genome-wide association analyses of tan spot disease resistance in a core collection of Tunisian durum wheat landraces
No full textA core collection of 235 durum wheat accessions consisting mainly of landraces was genotyped and evaluated for its genetic diversity and population structure. The same collection was phenotyped for the fungal pathogen Pyrenophora triciti-repentis (cause of tan spot disease of wheat) in Tunisia to perform genome-wide association analyses. The results highlight the significance of chromosomes, 2B, 3B, 5B, and 6A as genomic regions associated with tan spot resistance
Maize Mega Enviroments worldclim 2.1 1km res
No full textNew version of maize mega environments based upon new wordlclim 2.1 data.
Based on Bellon et al. 2005 https://doi.org/10.1016/j.foodpol.2005.09.003
Supersedes previous versio
55IBWSN, 40SAWSN, and 33HRWSN - Gene-based marker data for marker-assisted selection
No full textGene-based marker data from international screening nurseries for marker-assisted selection
Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment
No full textApplying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following a disease outbreak that affected over 15,000 hectares. Estimates show that the blast-induced yield loss was 540 kg ha-1 on average for households in the blast-affected districts. Estimated total wheat production loss was approximately 8,205 tons worth USD 2.1 million following the outbreak.
Based on these insights, we discuss the need for long-term assured investment and concerted research efforts in controlling transboundary diseases such as wheat blast, including the importance of weather-forecast driven early warning systems and the dissemination of blast-resistant varieties
The reference genomes of four cassava breeding elite progenitors: SM2775-4, CG1141-1, CM9912-167, and SM1127-8
No full text
SM2775-4 (CIAT) progenitor for high and stable dry matter and erect plant type
CG1141-1 (CIAT) progenitor for good cooking quality
CM9912-167 (CIAT) progenitor for high and stable dry matter and erect plant type
SM1127-8 (CIAT) progenitor for good cooking quality
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The reference genomes of four yam (Dioscorea spp.) clones.
No full text
TDa0000194 is a female flowering and white tuber fleshed water yam clone (Dioscorea alata) with less tendency to oxidize often used as trait progenitor in IITA breeding program. It is a released variety in Nigeria.
TDa0200012 is a male flowering and anthracnose tolerant water yam (Dioscorea alata) parental clone.
TDr9902789 is male flowering white Guinea yam (Dioscorea rotundata) breeding line tolerant to yam mosaic virus often used as a trait progenitor in IITA white Guinea yam breeding program.
Gwagwa is a female flowering white Guinea yam (Dioscorea rotundata) landrace variety in Nigeria. It is a short vine length and less tendency to climb landrace clone producing multiple shoots and tubers.
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Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia
No full textDevelopment of a methodology for mechanical maize meter evaluation that compares diverse meters in terms of seed singulation, seed damage, and spatial distributio
Reduced tillage and crop diversification can improve productivity and profitability of rice-based rotations of the Eastern Gangetic Plains
No full textIntensive rice (Oryza sativa)-based cropping systems in south Asia provide much of the calorie and protein requirements of low to middle-income rural and urban populations. Intensive tillage practices demand more resources, damage soil quality, and reduce crop yields and profit margins. Crop diversification along with
conservation agriculture (CA)-based management practices may reduce external input use, improve resource-use
efficiency, and increase the productivity and profitability of intensive cropping systems. A field study was
conducted on loamy soil in a sub-tropical climate in northern Bangladesh to evaluate the effects of three tillage
options and six rice-based cropping sequences on grain, calorie, and protein yields and gross margins (GM) for
different crops and cropping sequences. The three tillage options were: (1) conservation agriculture (CA) with all
crops in sequences untilled, (2) alternating tillage (AT) with the monsoon season rice crop tilled but winter
season crops untilled, and (3) conventional tillage (CT) with all crops in sequences tilled. The six cropping sequences were: rice-rice (R-R), rice-mung bean (Vigna radiata) (R-MB), rice-wheat (Triticum aestivum) (R-W), ricemaize (Zea mays) (R-M), rice-wheat-mung bean (R-W-MB), and rice-maize-mung bean (R-M-MB). Over three
years of experimentation, the average monsoon rice yield was 8% lower for CA than CT, but the average winter
crops yield was 13% higher for CA than CT. Systems rice equivalent yield (SREY) and systems calorie and protein
yields were about 5%, 3% and 6%, respectively, higher under CA than CT; additionally, AT added approximately
1% more to these benefits. The systems productivity gain under CA and AT resulted in higher GM by 16% while
reducing the labor and total production cost under CA than CT. The R-M rotation had higher SREY, calorie,
protein yields, and GM by 24%, 26%, 66%, and 148%, respectively, than the predominantly practiced R-R
rotation. The R-W-MB rotation had the highest SREY (30%) and second highest (118%) GM. Considering the
combined effect of tillage and cropping system, CA with R-M rotation showed superior performance in terms of
SREY, protein yield, and GM. The distribution of labor use and GM across rotations was grouped into four
categories: R-W in low-low (low labor use and low GM), R-M in low-high (low labor use and high GM), R-W-MB
and R-M-MB in high-high (high labor use and high GM) and R-R and R-MB in high-low (high labor use and low
GM). In conclusion, CA performed better than CT in different winter crops and cropping systems but not in
monsoon rice. Our results demonstrate the multiple benefits of partial and full CA-based tillage practices
employed with appropriate crop diversification to achieve sustainable food security with greater calorie and
protein intake while maximizing farm profitability of intensive rice-based rotational systems