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1114 research outputs found
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Historical Agronomic Dataset - Insights from Mexico (2012 - 2022)
No full textThe integrated BEM and e-Agrology dataset encompasses historical data from 2012 to 2022, compiled in Mexico. This dataset contains detailed information on farmers' field data, plots, and specific details of plots related to various crops grouped in nearly five hundred variables, covering different stages of the agronomic cycle. By sharing it with the community, invaluable insights can be extracted, aiding in the dissemination of knowledge. Additionally, it supports farmers in improving their production practice
Maize yield and profitability under conservation agriculture in Mexico's semi-arid highlands
No full textWe investigated the effect of conservation agriculture based cropping systems in the yield and profitability of maize in a semiarid region of central Mexico, under rainfed conditions. The database contains yield data, production cost and profitability for maize (Zea mays L.), bean (Phaseolus vulgaris L.), triticale (× Triticosecale Wittmack) and oats (Avena sativa) in two field experiments and 17 farmer's fields
Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Ethiopia
No full textSelected soil properties were predicted from 79 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Research in Agroforestry (ICRAF) in Kenya.
Coordinates were truncated to protect farmer's privacy. Unless specified, all properties were predicted. When calculated from other predicted properties, the variable name contained the string: "Estimated".
A link is provided to match terms used in the "terminag" GitHub (https://github.com/reagro/terminag.".</p
Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
No full textBreeding analyses may include pedigree information and genotypic data.
The wheat data in this dataset were used to asssess the accuracy of genomic predictons when the pedigree or genetic similarity matrix is combined with the genomic similarity matrix. This study included 5 single-environment models 5 multi-environments models with genotype-by-environment interactions (GE). The results of the analyses are reported in the accompanying article
Agricultural Lime Profitability in Rwanda (2022)
No full textThis was a survey data collected from Rwanda to assess the profitability of agricultural lime use to reduce soil acidity under smallholder cropping system
Key informant survey on village characteristics and crop residue management in Madhya Pradesh, India
No full textThe Green Revolution has led to intensive, irrigated rice-wheat systems in the Indian subcontinent that has helped the nations reduce poverty and food insecurity. The limited turn-around time between rice harvest and sowing of the winter crop (wheat) and mechanized harvesting of rice pose a critical challenge for farmers to sustainably handle the surplus rice residues. Because only a few economically viable residue-management alternatives are readily available, a majority of the 2.5 million rice-wheat farmers of the Indo Gangetic Plains (IGP) burn an estimated 23 million metric tons of rice stubble in October and November. Residue burning causes an emission of short-lived climate pollutants, such as methane and black carbon. More importantly, the decrease in air quality due to rice stubble burning has a significant adverse effect on human pulmonary functions.
In the recent past, rice residue burning and the resultant increase in air pollution have received significant media attention. However, the residue burning of rabi (winter) crops that occurs during the March-May period – when wheat crop residue is burnt – goes rather unnoticed. The preliminary analysis of remote sensing data indicated that wheat residue burning is prevalent in the Central Indian states, especially Madhya Pradesh. The potential technologies to manage wheat residue (e.g., zero tillage direct-seeded rice) are not yet popular in Central India. Against this background, the objective of the study can be stated as follows –
1. Groundtruthing of satellite data on wheat residue burning and connecting farming system characteristics to farm-level residue burning
2. Estimating the economic and environmental impacts (e.g., GHG emission) of wheat residue burning in the Madhya Pradesh state of India
3. Designing interventions to incentivize farmers to adopt farming technologies that avoid residue burning while preparing land for Kharif crops.
A farm household survey and village survey were conducted in three districts of Madhya Pradesh, where residue burning poses a serious environmental concern, such as Rajgarh, Vidisha, Hoshangabad.This dataset contains the village survey data collected through key informant interviews in 21 randomly selected villages with rice-wheat production systems
Round III: Household Survey Data, Punjab
No full textThe Green Revolution has led to intensive, irrigated rice-wheat systems across the Indo-Gangetic Plains (IGP). The limited turn-around time between rice harvest and sowing of the next crop (wheat) and mechanized harvesting of rice pose a critical challenge for farmers to sustainably handle the surplus rice residues. Because only a few economically viable residue-management alternatives are readily available, a majority of the 2.5 million farmers burn an estimated 23 million metric tons of rice stubble in October and November. The rice residue burning and the resultant increase in air pollution have received significant media attention in the recent past. Residue
burning causes the emission of short-lived climate pollutants, such as methane and black carbon. A solution for residue burning is offered by the application of two fundamental principles of Conservation Agriculture (CA) in wheat – minimal soil disturbance and crop residue retention for mulching. CA is heralded as more sustainable than traditional tillage alternatives. The technology diffusion has so far been only marginal in eastern IGP due to multiple institutional and economic constraints. The present survey was conducted in four districts of Punjab to (a) identify the adoption pattern of CA and alternative tillage practices among farmers (b) elicit farmer perceptions regarding different tillage options in different dimensions such as cost of cultivation, yield, input requirement, pest infestation, etc. Most of the sample farmers were visited by CIMMYT researchers in 2018 and 2021
The reference genome of Megathyrsus maximus (Jacq.) B.K. Simon & S.W.L. Jacobs (syn. Panicum maximum Jacq.) accession CIAT 6962 cv Mombasa
No full textMombasa (CIAT 6962, IRD/ORSTOM K190A, BRA 006645) was collected near Korogwe, Tanzania (5.20° S 38.50° E, 290 m asl, rainfall 1,050 mm) and ) and released as a cultivar in Brazil in 1993. It has an erect growth habit, large tussocks to 1.65 m, stems tinged with purple, leaves are long, to 3 cm wide, with short hairs on the upper surface; leaf sheaths are glabrous. Hand harvested clean seed yield ca 140 kg/ha (av.7 years) and up to 470 kg/ha. This accession showed high resistance to spittlebug, and good drought and cold tolerance. Dry matter yield is 28 % more than that of 'Tanzânia-1'. Liveweight gains of 770 kg/ha/yr compared with 600 and 590 kg/ha/yr from 'Tanzânia-1' and 'Tobiatã'. Although selected in the humid tropics, it is proving popular in the Middle East and Spain
Shiny application for consulting data online
No full textShiny application uses the API of Worlclim data set (https://www.worldclim.org/data/index.html) for getting climate data with coordinates taken by clicking on an interactive map or by typing on a text box. The applications uses WorldClim version 2.1, which contains monthly averages data calculated with climate data from 1970 to 2000, the resolution of data is available for three resolution size: 4.6km (2.5 minutes), 9.2 km (5 minutes) and 18.5 km (10 minutes). monthly averages. Each data represents a square surface (called pixel), which length per side is the resolution mentioned above.
The climate variables available for downloading are: Maximum temperature, Minimum temperature, Mean temperature and Rainfall. Elevation data is also available, derived from SRTM elevation data, for the same resolution mentioned above
Biophysical and Socioeconomic status mapping for targeted agricultural technology implementation in Nepal
No full textSeries of thematic maps on biophysical and socioeconomic status of Nepal to guide targeting of agricultural technologie