Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy

Guillermo Gerard Paolo Vitale Susanne Dreisigacker Morten Lillemo Jose Crossa (2023, [Dataset])

This study provides supplemental data to support the study on Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

21st High Temperature Wheat Yield Trial

Ravi Singh Carolina Saint Pierre (2023, [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

KDSmart: Training Materials and Sample Files

Sarah Hearne Terence Molnar Kate Dreher Claudio César Ayala Hernández (2016, [Dataset])

KDSmart is an app that can be used for data collection on any Android-based tablet or smartphone. It has many helpful features for capturing data in field and lab settings. This study contains documents and presentations that describe how KDSmart can be used and includes example files for traits, trials/nurseries, and tags that can be downloaded and serve as templates for loading on any device running KDSmart. KDSmart es una aplicación que se puede utilizer para captura de datos en cualquier dispositivo tablet o smartphone que tenga base Android. Tiene características muy útiles para captura de datos en campo y laboratorio. Este estudi o contiene documentación y presentaciones que describen como se puede utilizar KDSmart, incluyendo como ejemplos archivos de características, ensayos/viveros y etiquetas, que se pueden descargar como formatos para cargarlos en cualquier dispositivo que contenga KDSmart.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015

Terence Molnar (2015, [Dataset])

This dataset contains pedigree information for the maize breeding materials generated through the Seeds of Discovery-Ma sAgro Biodiversidad project from 2013 through 2015. These tropical, subtropical and highland materials are being developed to introduce novel alleles for tar spot resistance, drought tolerance, and high-anthocyanin content into elite maize lines.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genotypic data (DArTAG panel 2) for the IBWSN and SAWSN

Susanne Dreisigacker (2023, [Dataset])

DArTAG panel 2 validation data on 1454 CIMMYT spring bread wheat elite lines included in the 53, 54 and 55IWBWSN and 38, 39 and 40 SAWSN. DArTAG panel 2 consists of 3897 selected SNPs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Multi-trait genome prediction of new environments with partial least squares

Osval Antonio Montesinos-Lopez Brandon Alejandro Mosqueda González Marco Alberto Valenzo-Jimenez Jose Crossa (2022, [Dataset])

The genomic selection (GS) methodology has revolutionized plant breeding. This methodology makes predictions for genotyped candidate lines based on statistical machine learning algorithms that are trained with phenotypic and genotypic data of a reference population. GS can save significant resources in the selection of candidate individuals. However, plant breeders can face challenges when trying to implement it practically to make predictions for future seasons or new locations and/or environments. To help address this challenge, this study seeks to explore the use of the multi-trait partial least square (MT-PLS) regression methodology and to compare its performance with the Bayesian Multi-trait Genomic Best Linear Unbiased Predictor (MT-GBLUP) method. A benchmarking process was performed with five actual data sets contained in this study. The results of the analysis are reported in the accompanying article.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

39th Semi-Arid Wheat Screening Nursery

Ravi Singh Carolina Saint Pierre (2022, [Dataset])

The Semi-Arid Wheat Screening Nursery (SAWSN) is a single replicate trial that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone, semi-arid environments typically receiving less than 500 mm of water available during the cropping cycle. CIMMYT's breeding approach attempts to combine high yield potential with drought resistance for ME4. The combination of water-use efficiency and water responsive traits plus yield potential is important in drought environments where rainfall is frequently erratic across years. When rains are significantly above average in certain years, the crop must respond appropriately (water responsive) with higher yields, while expressing resistance to the wider suite of diseases that appear under more favorable conditions. Constrains including leaf, stem and yellow rusts, and Septoria spp., Fusarium spp., Pyrenophora tritici-repentis tan spot, nematodes and root rots must be considered. It is distributed to 120 locations, and contains 150-250 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

CIMMYT Eastern Africa Maize Regional On-Station (Stage 4) and On-Farm (Stage 5) Trials: Results of the 2021 to 2022 Seasons and Product Announcement

Berhanu Tadesse Ertiro Yoseph Beyene Dan Makumbi Suresh L.M. Manje Gowda Anani Bruce Vijay Chaikam Fidelis Owino Walter Chivasa Aparna Das Nicholas J. Davis Pieter Rutsaert Juan Burgueño Prasanna Boddupalli (2023, [Dataset])

New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Eastern Africa and similar agro-ecological zones. Following rigorous trialing and a stage-gate advancement process and culminating in the 2022 Eastern Africa Regional On-Farm Trials, CIMMYT has advanced a total of 6 new elite maize hybrids, each of which met the stringent performance criteria for CIMMYT’s eastern Africa early (EAPP1B), intermediate (EAPP1A) or late (EAPP2) maize breeding pipelines. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARES and private seed companies, in Eastern Africa under various management and environmental conditions.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Toward greater sustainability: how investing in soil health may enhance maize productivity in Southern Africa

Christian Thierfelder Eric Paterson Lumbani Mwafulirwa Tim Daniell Jill Cairns Blessing Mhlanga (2022, [Dataset])

Climate change and soil fertility decline are major threats to smallholder farmers' food and nutrition security in southern Africa, and cropping systems that improve soil health are needed to address these challenges. Cropping systems that invest in soil organic matter, such as no-tillage (NT) with crop residue retention, have been proposed as potential solutions. However, a key challenge for assessing the sustainability of NT systems is that soil carbon (C) stocks develop over long timescales, and there is an urgent need to identify trajectory indicators of sustainability and crop productivity. Here we examined the effects of NT as compared with conventional tillage without residue retention on relationships between soil characteristics and maize (Zea mays L.) productivity in long-term on-farm and on-station trials in Zimbabwe. Our results show that relationships between soil characteristics and maize productivity, and the effects of management on these relationships, varied with soil type. Total soil nitrogen (N) and C were strong predictors of maize grain yield and above-ground biomass (i.e., stover) in the clayey soils, but not in the sandy soils, under both managements. This highlights context-specific benefits of management that fosters the accumulation of soil C and N stocks. Despite a strong effect of NT management on soil C and N in sandy soils, this accrual was not sufficient to support increased crop productivity in these soils. We suggest that sandy soils should be the priority target of NT with organic resource inputs interventions in southern Africa, as mineral fertilizer inputs alone will not halt the soil fertility decline. This will require a holistic management approach and input of C in various forms (e.g., biomass from cover crops and tree components, crop residues, in combination with mineral fertilizers). Clayey soils on the other hand have greater buffering capacity against detrimental effects of soil tillage and low C input.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Consumer study on acceptance and willingness to pay for instant cereal products with food-to-food fortification, using affective tests and experimental auctions, in Eldoret, Kenya

Hugo De Groote Violet Mugalavai Mario Ferruzzi Augustino Onkware emmanuel ayua Kwaku Duodu Michael Ndegwa Bruce Hamaker (2022, [Dataset])

In this study 220 urban consumers of Eldoret were asked i) about socioeconomic characteristics and nutritional knowledge, ii) evaluate five flours with two preparations using affective tests, iii) to provide willingness-to-pay for the five flours using with experimental auctions. The data contain a set for each of the three objectives. The first data set contains ID number and socioeconomic information of the participants, with one line per person (N = 220). The second data set contains the results of the affective tests. Five flours were used in the affected test: sifted conventional maize flour, sifted mixed (maize and sorghum flour) conventional flour, instant sifted mixed flour, instant whole mixed flour, and instant sifted mixed flour with food-to-food fortification. From each of the flours, two products were prepared: ugali (stiff porridge) or uji (liquid porridge). All participants were asked to evaluate the 5 x 2 = 10 preparations on five traits: appearance, texture in hand, aroma, texture in mouth, taste, and overall. The results are presented in one line per participant per product (220 x 5 = 1100 lines), with the results for ugali and uji in different columns. The third data set contains the WTP, elicited through an experimental auction using BDM, for the five flours. Participants were split into three information treatments: A1: WTP without information, A2: repeat WTP now with information, B: information from the start, each with 110 participants, so in total 3 treatments x 110 x 5 products = 1650 observations.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA