Increase in sustainable agricultural production in Mozambique through drought tolerant maize and conservation agriculture

Christian Thierfelder (2016, [Dataset])

The objective of this work set is to demonstrate the best options currently available for the management of conservation agriculture (CA) practices in different communities in Mozambique. Eleven communities were selected from the districts of Sofala, Tete and Manica (approximately 100 to 200 families in each community) to host these demonstration sites and six demo fields were installed in each community from 2006-2015 (9 seasons). The treatments in each community were as follows: 1. Farmers' practice (control)- Traditional management with removal of stubble. 2. Conservation agriculture- The stubble is kept in the ground, there is no preparation of the ground, and the sowing is done manually in covachos previamento open (see the management of the covachos) and with SULCADOR in Nhamatiquite. 3. Direct sowing (SD): The stubble is kept in the soil, the direct sowing is done with Matraca or sharp bread.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

1st to 23rd Elite Selection Wheat Yield Trial

Ravi Singh Thomas Payne (2017, [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

International Durum Yield Nursery genotyping-by-sequencing data

Karim Ammar Thomas Payne (2017, [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

47th International Durum Yield Nursery

Karim Ammar Thomas Payne (2018, [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

TAMASA Ethiopia. Variety phenology calibration dataset, 2016

MESFIN KEBEDE DESTA Henri TONNANG (2017, [Dataset])

Experiments at five locations (Dedessa, Uke, Bako, Ambo, Holleta) in Ethiopia on an altitude gradient (1231 to 2351 m) to calibrate development or phenology of 20 maize varieties. There were two to three sowing dates at each location. Observations include dates of emergence, tassel, silking and maturity; biomass and grain yields.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

43rd International Durum Screening Nursery

Karim Ammar Thomas Payne (2017, [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

TAMASA Ethiopia. Yield, soil and agronomy data from farmers’ maize fields collected by EIAR, 2015 season

Peter Craufurd (2017, [Dataset])

This dataset was obtained from maize Crop cut survey conducted in 2015 by EIAR and CIMMYT. Replicated crop cuts of 16m2 in farmers fields along with addition data on nutrient use and variety, and soil sample (0-20, 20-50 cm). Note that not all soil samples have been analysed yet.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

CIMMYT Maize Regional Trial Data for Eastern Africa 2017

MacDonald Jumbo Yoseph Beyene Dan Makumbi Lewis Machida Suresh L.M. Amsal Tarekegne Manje Gowda Vijay Chaikam Prasanna Boddupalli (2020, [Dataset])

The summary results of the Regional Trials for CIMMYT Maize Hybrids in Eastern Africa for 2017. The trials include: EHYB17-Set I – Early/extra-early maturing elite pre-commercial hybrids regional trials (including external and internal checks); IHYB17-Set I – Intermediate maturing elite pre-commercial hybrids regional trial (including external and internal checks); ILHYB17 – Intermediate-Late maturing elite pre-released and released hybrids regional trials (including external and internal checks); EHYB17-Set II – Early maturing elite pre-commercial hybrids regional trials; ILHYB17 Set II – Intermediate/late maturing elite pre-commercial hybrids regional trials.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Molecular characterization of modern durum wheat Mediterranean landraces and modern cultivars with molecular markers associated to vernalization response (Vrn-1) and photoperiod sensitivity (Ppd-1) genes

Susanne Dreisigacker Karim Ammar (2020, [Dataset])

We characterized a panel of 151 durum wheat Mediterranean landraces and 20 modern cultivars via a series of molecular markers associated with Vrn-1 and Ppd-1 genes. The molecular data were used estimate the effects of the observed alleles on the time needed to reach six different growth stages under field conditions. Field experiments were carried out over six years in Lleida, northeastern Spain.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico

Sivakumar Sukumaran Jose Crossa Carlos Jara Marta Lopes Matthew Paul Reynolds (2016, [Dataset])

Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines phenotyped for grain yield (GY), thousand grain weight (GW), grain number (GN), and thermal time for flowering (TTF) in 18 environments (year location combinations) in major wheat producing countries in 2010 and 2011. The seven genomic prediction models tested herein: four of them (model 1 (L+E), model 2 (L+E+G), model 3 (L+E+A) , and model 4 (L+E+A+G )) with main effects (lines (L), environme nts (E), genetic relationship matrix (G), and pedigree derived matrix (A) and three of them (model 5 (L+E+A+AE), model 6 (L+E+G+GE), and model 7 (L+E+G+A+AE+GE)) with interaction effects between A×E, G×E, and both together with main effects. Moreover, two cross validation (CV) schemes were applied: (1) predicting lines’ performance at untested sites (CV1) and (2) predicting the lines’ performance at some sites with the performance from other sites (CV2). The genomic prediction models with interaction terms, models 6 and 7 had the highest prediction accuracy on average for CV1 for GY (0.31), GN (0.30), and model 5 for TTF (0.26). Models 3 and 7 2, were the best model for GW (0.45 each) under CV1 scenario. For CV2, the prediction accuracy was generally high for the model with interaction terms models 5, 6, and 7 for GY (0.39), model 5 and 7 for GN (0.43. For GW and TTF models prediction accuracy were similar. Results indicated genomic selection can be used to predict genotype by environment (G×E) interaction in multi environment trials to select varieties for release as well as for accelerated breeding.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA