A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Osval Antonio Montesinos-Lopez Jose Crossa Jaime Cuevas Morten Lillemo Philomin Juliana Ravi Singh (2018, [Dataset])

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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

22nd High Rainfall Wheat Screening Nursery

Ravi Singh Thomas Payne (2019, [Dataset])

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

21st High Rainfall Wheat Screening Nursery

Ravi Singh Thomas Payne (2019, [Dataset])

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

3rd Wheat Yield Collaboration Yield Trial

Matthew Paul Reynolds Thomas Payne (2020, [Dataset])

The WYCYT international nurseries are the result of research conducted to raise the yield potential of spring wheat through the strategic crossing of physiological traits related to source and sink potential in wheat. These trials have been phenotyped in the major wheat-growing mega environments through the International Wheat Improvement Network (IWIN) and the Cereal System Initiative for South Asia (CSISA) network, which included a total of 136 environments (site-year combinations) in major spring wheat-growing countries such as Bangladesh, China, Egypt, India, Iran, Mexico, Nepal, and Pakistan.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

1st Wheat Yield Collaboration Yield Trial

Matthew Paul Reynolds Thomas Payne (2020, [Dataset])

The WYCYT international nurseries are the result of research conducted to raise the yield potential of spring wheat through the strategic crossing of physiological traits related to source and sink potential in wheat. These trials have been phenotyped in the major wheat-growing mega environments through the International Wheat Improvement Network (IWIN) and the Cereal System Initiative for South Asia (CSISA) network, which included a total of 136 environments (site-year combinations) in major spring wheat-growing countries such as Bangladesh, China, Egypt, India, Iran, Mexico, Nepal, and Pakistan.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

12th High Temperature Wheat Yield Trial

Ravi Singh Thomas Payne (2019, [Dataset])

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Temperature Wheat Yield Trial (HTWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents high temperature areas.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

14th High Rainfall Wheat Yield Trial

Ravi Singh Thomas Payne (2019, [Dataset])

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Yield Trial (HRWYT) contains very top-yielding advance lines of spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall, Wheat Mega-environment 2 (ME2HR).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

TAMASA Tanzania Variety Phenology Calibration Experiments

Peter Craufurd (2018, [Dataset])

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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Ideas for modernizing maize and bean value chains in Kenya and Ethiopia: results from a brief survey

Paswel Marenya MARTINS ODENDO James Ouma (2015, [Dataset])

The development of relatively sophisticated actors along the agricultural value chains is an important precursor for agricultural development. In staple crop value chains for example, innovations around warehouse receipting and collateralization can enable farmers to successfully engage in temporal and spatial arbitrage, thereby opening opportunities to improve producer prices and expanding market horizons and creating greater market opportunities for rural households. This study summarizes the results of a market survey conducted in Eastern and Western Kenya as well as the major maize and legume markets in Ethiopia to identify key indicators of modernizing maize and legume markets in those countries. Using data from a market survey of 275 and 106 maize and /or legume traders in Ethiopia and Kenya respectively, evidence of modernization was summarized in terms of the following parameters. The existence of impersonal exchange, contract-based transactions, price information systems, standardization and quality differentiation. The survey finds that most maize and legume markets do not rely on contractual arrangements, formal price systems, do not have credit facilities to farmers and have no universal quality standardization. Two main gaps were identified. The need for formal price information systems based on widely accepted quality definitions and the needto develop the infrastructure for auxiliary services such as credit, forward sales, transportation and grading among others. On future research, empirical analyses should focus on determining the key financial, efficiency and development gains in such measures as standardized grades and quality, contracting and vertically integration.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

15th Semi-Arid Wheat Yield Trial

Ravi Singh Thomas Payne (2015, [Dataset])

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 potential is important in drought environments where rainfall is frequently erratic across and within years. Stripe rust, leaf rust and stem rust, root rots, nematodes, and bunts are the key biotic constraints. Typical target environments include winter rain or Mediterranean-type drought associated with post-flowering moisture stress and heat stress such as those found at Aleppo (Syria), Settat (Morocco) and Marcos Juarez (Argentina), all classified by CIMMYT within Wheat Mega Environment 4 (Low rainfall, semi-arid environment; ME4: SA). It is distributed to 150 locations, and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA