These reports were generated by CIMMYT and SRFSI project partners. The data were collected with the help from DAE, BARI, and RDRS in Bangladesh; ICAR, BAU, UBKV, DoA-WB, Shakhi and JEEViKA in India, NARC and DoA in Nepal and community-based organizations (CBOs) in the region and are thankfully acknowledged. The support received from CSIRO, Curtin...

The water table depth collected by SRFSI partners from SRFSI project sites

Drought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in the journal of Crop Science 53 :1335–1346...

Description The datasheet describes a multi-location trial in 4 countries which test the effect of different CA on maize and legume grain yield. Objectives: - To evaluate the effects of the various components of CA systems on crop productivity and the interactions between these components. - To stimulate the adaptation of CA related technologies to...

TAMASA Agronomy Panel Survey 2016/17 Season. This file contains the results of soil analysis at 0-20 and 20-50 cm soil depths from approximately 580 maize fields in the Southern Highlands, Northern and Eastern Zones of Tanzania in May-August 2017. Soil data can be linked to associated maize yield and biomass by the common HHID.

Experiments at multiple locations in Tanzania (800 to 1500m) to calibrate development or phenology of maize varieties. Locations are: Igeri, Minja, Mitalula, Mlaaleni, Monduli, Selian, Seatondale, Suluti, Uyole, W. Kilimanjaro. Observations include dates of emergence, tassel, silking and maturity; Daily min & max temperatures are in a separate file

International Durum Yield Nurseries are replicated yield trials designed to measure the yiel d potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in northwest Mexico. These materials have been subjected to numerous diseases...

The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...

Bread wheat breeding lines from yield and elite yield trials are analyzed annually for grain quality traits at the Wheat Chemistry and Quality Laboratory of CIMMYT. The analysis done are the following: grain morphology (test weight and thousand kernel weight), grain hardness and protein content, flour yield, flour protein content, SDS-sedimentation test,...

The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility conditions, water management, and (most importantly) disease conditions. The...

International Durum Screening Nursery (IDSN) distributes diverse CIMMYT-bred spring durum wheat germplasm adapted to irrigated and variable moisture stressed environments. Disease resistance and high industrial pasta quality are essential traits possessed in this germplasm. It is distributed to 100 locations, and contains 150 entries.

This dataset consists of agricultural statistics reports from India for 2015, 2016 and 2017.

Replicated crop-cuts and related agronomy data for maize from 142 farmers' fields in Southern, Eastern and Northern Zones in 2014/2015 season. The soils data from these fields can be found here.

A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.

The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.

Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studies and surveys in several states where CA was propagated in the past show an...

This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.

The Semi-Arid Wheat Yield Trial (SAWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone environments typically receiving less than 500 mm of water available during the cropping cycle. The combination of water-use efficiency and water responsive broad adaptation plus yield...

This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.

Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by environmental covariables.