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Muul chen

Fernando Nuno Dias Marques Simoes (2021)

Registro de informacion general multidisciplinaria de cenotes de la peninsula de yucatan, proveniente de la base de datos de cenoteando.mx

Dataset

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA BIOLOGÍA Y QUÍMICA CIENCIAS SOCIALES

Santa Rit

Fernando Nuno Dias Marques Simoes (2021)

Registro de informacion general multidisciplinaria de cenotes de la peninsula de yucatan, proveniente de la base de datos de cenoteando.mx

Dataset

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA BIOLOGÍA Y QUÍMICA CIENCIAS SOCIALES

Suytuncab

Fernando Nuno Dias Marques Simoes (2021)

Registro de informacion general multidisciplinaria de cenotes de la peninsula de yucatan, proveniente de la base de datos de cenoteando.mx

Dataset

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA BIOLOGÍA Y QUÍMICA CIENCIAS SOCIALES

Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs

Jose Crossa Thanda Dhliwayo THOKOZILE NDHLELA natalia palacios rojas (2021)

Vitamin A deficiency (VAD) is a public health problem worldwide. For countries with a high per capita consumption of maize, breeding varieties with higher provitamin A carotenoid content than normal yellow maize — biofortification — can be a viable strategy to reduce VAD. Selection for provitamin A carotenoid content uses molecular markers and phenotypic data generated using expensive and laborious wet lab analyses. Near-infrared spectroscopy (NIRS) could be a fast and cheap method to measure carotenoids. This dataset contains carotenoid and NIRS data from 1857 tropical maize samples used as a training set to predict provitamin A carotenoid content of an independent set of 650 tropical maize samples using Bayesian linear regression models. The datasets contain information about specific carotenoids measured and the NIRS values measured at different wavelengths. The results of the analysis are described in the accompanying article.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

27th Semi-Arid Wheat Yield Trial

Ravi Singh Thomas Payne (2020)

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.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined GWAS, linkage mapping, and genomic prediction

Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)

Significant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

52nd International Durum Screening Nursery

Karim Ammar Thomas Payne (2021)

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.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

31st High Rainfall Wheat Screening Nursery

Ravi Singh Thomas Payne (2021)

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).

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

28th International Septoria Observation Nursery

Thomas Payne Pawan Singh (2020)

The International Septoria Observation Nursery (earlier Septoria Monitoring Nursery – SMN) is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to ME2 (High rainfall environment) and ME4 (Low rainfall, semi-arid environment) with total 50-100 entries and white/red grain color.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA