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Autor: Peter Craufurd
TAMASA Ethiopia. Nutrient omission trial (NOT) datasets for 2015 and 2016 seasons
Peter Craufurd (2017)
Nutrient Ommission Trials (NOT's) conducted in two zones (West Showa and Jimma) in Ethiopia in 2015 and 2016. Trials comprise six nutrient management treatements, namely Control (zero fertilzer), PK, NK, PK, NPK, NPK+Ca+Mg+Zn+B. Trials were conducted on-farm with six plots per farm. Observations include soil analysis (0-20cm), biomass and grain yields
Dataset
TAMASA Ethiopia. Nutrient omission trial (NOT) datasets for 2015 and 2016 seasons
Peter Craufurd (2017)
Nutrient Ommission Trials (NOT's) conducted in two zones (West Showa and Jimma) in Ethiopia in 2015 and 2016. Trials comprise six nutrient management treatements, namely Control (zero fertilzer), PK, NK, PK, NPK, NPK+Ca+Mg+Zn+B. Trials were conducted on-farm with six plots per farm. Observations include soil analysis (0-20cm), biomass and grain yields
Dataset
Peter Craufurd (2017)
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.
Dataset
TAMASA Tanzania Variety Phenology Calibration Experiments
Peter Craufurd (2018)
Experiments at multiple locations in Tanzania (800 to 1500m) to calibrate development or phenology of maize varieties. Locations are: Igeri, Minja, Mitalula, Mlaaleni, Monduli, Selian, Seatondale, Suluti, Uyole, W. Kilimanjaro. Observations include dates of emergence, tassel, silking and maturity; Daily min & max temperatures are in a separate file
Dataset
TAMASA Tanzania. Agronomy Panel Survey (APS) 2017. Crop Cut & Soil Sample
Peter Craufurd (2018)
TAMASA Agronomy Panel Survey 2016/17 Season. This file contains the results of soil analysis at 0-20 and 20-50 cm soil depths from approximately 580 maize fields in the Southern Highlands, Northern and Eastern Zones of Tanzania in May-August 2017. Soil data can be linked to associated maize yield and biomass by the common HHID.
Dataset
Peter Craufurd (2017)
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.
Dataset
Anup Das virender kumar Peter Craufurd Andrew Mcdonald Sonam Sherpa (2023)
Introduction: Conservation agriculture (CA) is gaining attention in the South Asia as an environmentally benign and sustainable food production system. The knowledge of the soil bacterial community composition along with other soil properties is essential for evaluating the CA-based management practices for achieving the soil environment sustainability and climate resilience in the rice-wheat-greengram system. The long-term effects of CA-based tillage-cum-crop establishment (TCE) methods on earthworm population, soil parameters as well as microbial diversity have not been well studied. Methods: Seven treatments (or scenarios) were laid down with the various tillage (wet, dry, or zero-tillage), establishment method (direct-or drill-seeding or transplantation) and residue management practices (mixed with the soil or kept on the soil surface). The soil samples were collected after 7 years of experimentation and analyzed for the soil quality and bacterial diversity to examine the effect of tillage-cum-crop establishment methods. Results and Discussion: Earthworm population (3.6 times), soil organic carbon (11.94%), macro (NPK) (14.50–23.57%) and micronutrients (Mn, and Cu) (13.25 and 29.57%) contents were appreciably higher under CA-based TCE methods than tillage-intensive farming practices. Significantly higher number of OTUs (1,192 ± 50) and Chao1 (1415.65 ± 14.34) values were observed in partial CA-based production system (p ≤ 0.05). Forty-two (42) bacterial phyla were identified across the scenarios, and Proteobacteria, Actinobacteria, and Firmicutes were the most dominant in all the scenarios. The CA-based scenarios harbor a high abundance of Proteobacteria (2–13%), whereas the conventional tillage-based scenarios were dominated by the bacterial phyla Acidobacteria and Chloroflexi and found statistically differed among the scenarios (p ≤ 0.05). Composition of the major phyla, i.e., Proteobacteria, Actinobacteria, and Firmicutes were associated differently with either CA or farmers-based tillage management practices. Overall, the present study indicates the importance of CA-based tillage-cum-crop establishment methods in shaping the bacterial diversity, earthworms population, soil organic carbon, and plant nutrient availability, which are crucial for sustainable agricultural production and resilience in agro-ecosystem.
Artículo
Metagenomics Bacterial Diversity Rice-Wheat-Greengram CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CONSERVATION AGRICULTURE DNA SEQUENCES EARTHWORMS METAGENOMICS SOIL QUALITY AGROECOSYSTEMS