Sparse designs for genomic selection using multi-environment data

Yoseph Beyene Juan Burgueño Jose Crossa (2020, [Dataset])

This research study the genomic-enabled prediction accuracy of the composition of the following sparse testing allocation design: (1) all non-overlapping (0 overlapping) lines in environments, (2) all overlapping (0 non-overlapping) lines tested in all the environments, and (3) combinations of the two previous cases where certain numbers of non-overlapping (NO)/overlapping (O) lines were distributed in the environments. We also studied cases where the size of the testing population was decreased. The study used two large maize data sets (T1 and T2). Four different genomic-enabled prediction models were studied, two models (M1 and M2) that do not include the genomic × environment interaction (GE), whereas models M3 and M4 incorporate two forms of modeling GE. The results show that genome-based models including GE (M3 and M4) captured more genetic variability with the GE component than the other models for both data sets. Also, models M3 and M4 provide higher prediction accuracy than models M1 and M2 for the different allocation designs comprising different combinations of NO/O lines in environments. Results indicate that substantial savings of testing resources can be achieved by optimizing the allocation design using genome-based models including genomic × environment interaction.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

27th Elite Selection Wheat Yield Trial

Ravi Singh Thomas Payne (2019, [Dataset])

The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow rusts, Karnal bunt, and lodging. Representative areas include the Gangetic Valley (India), the Indus Valley (Pakistan), the Nile Valley (Egypt), irrigated river valleys in parts of China (e.g. Chengdu), and the Yaqui Valley (Mexico). This ME encompasses 36 million hectares spread primarily over Asia and Africa between 350S -350N latitudes. White (amber)-grained types are preferred by consumers of wheat in the vast majority of the areas. It is distributed to upto 200 locations and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

39th Elite Selection Wheat Yield Trial

Ravi Singh Thomas Payne (2019, [Dataset])

The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow rusts, Karnal bunt, and lodging. Representative areas include the Gangetic Valley (India), the Indus Valley (Pakistan), the Nile Valley (Egypt), irrigated river valleys in parts of China (e.g. Chengdu), and the Yaqui Valley (Mexico). This ME encompasses 36 million hectares spread primarily over Asia and Africa between 350S -350N latitudes. White (amber)-grained types are preferred by consumers of wheat in the vast majority of the areas. It is distributed to upto 200 locations and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

39th International Bread Wheat Screening Nursery

Ravi Singh Thomas Payne (2019, [Dataset])

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 distribution of these nurseries is deliberately biased toward the major spring wheat regions of the world where the diseases of wheat are of high incidence. It is distributed to 180 locations and contains 300-450 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

37th International Durum Yield Nursery

Karim Ammar Thomas Payne (2020, [Dataset])

International Durum Yield Nurseries are replicated yield trials designed to measure the yield 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 (leaf, stem and yellow rust; Septoria tritici blotch) and varied growing environments. It is distributed to 70 locations, and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

36th International Durum Screening Nursery

Karim Ammar Thomas Payne (2020, [Dataset])

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.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

23rd 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

29th 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

Assessing the Adoption Dynamics of Zero-tillage (ZT) Wheat and the Growth Dynamics of Related Custom Hire Services in Bihar. Survey 2: ZT Service Provision as a Business Opportunity

Alwin Keil Archisman Mitra (2018, [Dataset])

While there existed some empirical evidence of the incidence of zero-tillage (ZT) adoption in wheat – rice farming systems in Punjab, in 2013 no such assessment existed for Bihar, one of the major focal points of CSISA activities in the second phase. In Bihar, a relatively extensive network of ZT service providers exists, and the technology is probably relatively widely known, making a study which is based on a random sample of ZT service providers, ZT adopters, and non-adopters of the technology feasible. This kind of ground-truthing of the potential of ZT service provision as a business model and the adoption and impacts of the technology at the farm household level is urgently needed in view of a credible quantitative assessment of the impact of CSISA with respect to one of its major supported technologies. The results can help to more effectively target the promotion of ZT and the provision of ZT services and related training activities. The study consists of two interlinked panel household surveys, one focusing on ZT adoption and its welfare impacts at the farm household level (Survey 1) and the other focusing on ZT service provision as a business opportunity (Survey 2). For both surveys, data were collected in two rounds, the initial survey being conducted in 2013 with a follow-up survey in 2016. The objectives of this study are: (1) to assess service providers’ resource endowment and risk preferences; (2) based on (1), and pooling data with Survey 1, identify influencing factors of engaging in ZT service provision, including influencing factors of the scale of service provision.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Osval Antonio Montesinos-Lopez Francisco Javier Martin Vallejo Jose Crossa Philomin Juliana Ravi Singh (2018, [Dataset])

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.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA