India: Nutrient Expert: A precision nutrient management tool for smallholder production systems of India

Crops & Soils ◽  
2014 ◽  
Vol 47 (2) ◽  
pp. 23-25 ◽  
Author(s):  
Sudarshan K. Dutta ◽  
Kaushik Majumdar ◽  
T. Satyanarayana
1996 ◽  
Vol 1 (1) ◽  
pp. 52 ◽  
Author(s):  
Germán Afanador

<p>El Plan de Modernización Tecnológica de la Ganadería Colombiana es el resultado de la concertación entre los productores ganaderos a través de su gremio cúpula, FEDEGAN y de gremios y productores regionales el Gobierno Nacional a través del Ministerio de Agricultura y Desarrollo Rural, el Departamento Nacional de Planeación, COLCIENCIAS y CORPOICA y expresa una nueva manera de concebir la innovación tecnológica agropecuaria. Por otra parte, como instrumento de gestión tecnológica promueve el cierre de la brecha tradicional entre la investigación y la adopción de tecnología a través de un mayor contacto y relación interactiva entre investigadores y productores a través de escenarios tecnológicos que reflejan primero, el análisis de la problemática de los sistemas de producción ganaderos predominantes en áreas como: la estacionalidad de la producción de forrajes, el uso inapropiado del recurso genético, los bajos planos nutricionales y de alimentación animal, la degradación de praderas, los problemas de salud animal, la baja calidad de los productos e ineficiencia en los procesos de transformación y de gestión empresarial y segundo una estrategia de acción específica en: fincas, empresas ganaderas, centros de investigación y microrregiones.</p><p> </p><p><strong>Strategic Technology Modernization Plan of Livestock Colombiana</strong></p><p>Technological Modernization Plan of Livestock Colombiana is the result of consultation between livestock producers through its dome guild , guilds FEDEGAN and regional producers and the Government through the Ministry of Agriculture and Rural Development, the National Department of planning and CORPOICA COLCIENCIAS and expresses a new way of thinking about agricultural technology innovation . Moreover, as technology management tool promotes closing the traditional gap between research and technology adoption through greater contact and interactive relationship between researchers and farmers through technological scenarios that reflect first analysis problems of livestock production systems prevalent in areas such as the seasonality of forage production , inappropriate use of genetic resources , low nutrition and feed levels , degradation of grasslands, animal health problems , low quality products and inefficiency in processing and business management and strategy second specific action : farms , livestock enterprises , research centers and micro.</p>


2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 488-489
Author(s):  
Stephan Wildeus ◽  
Tom Murphy ◽  
Dahlia O’Brien

Abstract Objectives were to evaluate lamb survival and body weight (BW) under an accelerated, pasture-lambing system. Lambs were born to Barbados Blackbelly (BB) or St. Croix dams (SC) mated within breed (purebred) or to Dorset (terminal) in single sire mating groups. Lambs were born in April (2013 and 2015), December (2013 and 2015), and August (2014 and 2016) and weaned at 9 weeks of age. Traits considered were BW at birth (BW0; n = 959), 65-d adjusted weaning BW (BW65; n = 788), and survival to weaning (n = 959). Data were analyzed with fixed effects of dam age, sex, birth type, dam breed (BB vs SC), dam mating system (purebred vs terminal), birth month-year, and significant two-way interactions and a random dam effect. Dam breed did not impact BW65 (P = 0.09). While BW0 was greater for lambs born to SC than BB dams (3.44 vs 3.23 kg; P &lt; 0.01), survival to weaning was greater for lambs born to BB than SC dams (0.93 vs. 0.87; P = 0.02). The dam mating system x birth month-year interaction was significant for both BW traits (P ≤ 0.01). Within birth month-year, BW0 was 18 to 24% greater and BW65 was 12 to 24% greater for terminal than purebred lambs (P &lt; 0.01). However, BW0 differences between dam mating systems were greatest for August born lambs whereas BW65 differences were greatest for April born lambs. Lamb survival was not affected by dam mating system or birth month-year (P ≥ 0.27). Using a terminal sire improved BW without affecting survival of lambs reared by landrace hair sheep dams, making this a viable management tool to increase productivity of forage-based production systems.


2006 ◽  
Vol 20 (3) ◽  
pp. 646-650 ◽  
Author(s):  
Nathan S. Boyd ◽  
Eric B. Brennan

Weed management is often difficult and expensive in organic production systems. Clove oil is an essential oil that functions as a contact herbicide and may provide an additional weed management tool for use on organic farms. Burning nettle, purslane, and rye responses to 5, 10, 20, 40, and 80% v/v clove oil mixture applied in spray volumes of 281 and 468 L/ha were examined. Log-logistic curves were fitted to the nettle and purslane data to determine the herbicide dose required to reduce plant dry weight 50% (GR50) and 90% (GR90). A three-parameter Gaussian curve was fitted to the rye data. The GR50 and GR90 were largely unaffected by spray volume. Nettle dry weight was reduced by 90% with 12 to 61 L clove oil/ha, whereas 21 to 38 L clove oil/ha were required to reduce purslane biomass to the same level. Rye was not effectively controlled by clove oil. Clove oil controls broadleaf weeds at high concentrations, but its cost makes broadcast applications prohibitive, even in high-value vegetable production systems.


HortScience ◽  
2018 ◽  
Vol 53 (9) ◽  
pp. 1364-1371 ◽  
Author(s):  
John C. Majsztrik ◽  
Andrew G. Ristvey ◽  
David S. Ross ◽  
John D. Lea-Cox

Quantifying the range of fertilizer and irrigation application rates applied by the ornamental nursery and greenhouse industry is challenging as a result of the variety of species, production systems, and cultural management techniques that are used. To gain a better understanding of nutrient and water use by the ornamental industry in Maryland, 491 potential operations (including multiple addresses and contacts) in the state were mailed a packet of information asking for their voluntary participation. Of the 491 potential operations, it was determined that 348 operations were currently in operation. Of those 348 operations, 48 (14% of the operations in the state) participated in a site visit and an in-depth interview, and a detailed site analysis of the water and nutrient management practices was performed on a production management unit (MU) basis. The authors define an MU as a group of plants that is managed similarly, particularly in regard to nutrient and irrigation application. Greenhouse operations reported, on average, 198, 122, and 196 kg/ha/year of nitrogen (N), phosphorus (P, as P2O5), and potassium (K, as K2O) fertilizer used, respectively, for 27 operations, representing 188 MUs. Twenty-seven outdoor container nursery operations had a total of 162 MUs, with an average of 964, 390, and 556 kg/ha/year of N, P2O5, and K2O fertilizer used, respectively. Field nursery (soil-based) operations were represented by 17 operations, producing 96 MUs, with an average of 67, 20, and 25 kg/ha/year of N, P2O5, and K2O fertilizer used, respectively. Irrigation volume per application was greatest in container nursery operations, followed by greenhouse and field nursery operations. Data were also analyzed by creating quartiles, which represent the median of the lowest 25%, the middle 50%, and highest 75% of values. It is likely that the greatest quartile application rates reported by growers could be substantially reduced with little to no effect on plant production time or quality. These data also provide baseline information to determine changes in fertilization practices over time. They were also used as inputs for water and nutrient management models developed as part of this study. These data may also be useful for informing nutrient application rates used in the Chesapeake Bay nutrient modeling process.


Author(s):  
Brett Whelan ◽  
James Taylor

Precision Agriculture (PA) is an approach to managing the variability in production agriculture in a more economic and environmentally efficient manner. It has been pioneered as a management tool in the grains industry, and while its development and uptake continues to grow amongst grain farmers worldwide, a broad range of other cropping industries have embraced the concept. This book explains general PA theory, identifies and describes essential tools and techniques, and includes practical examples from the grains industry. Readers will gain an understanding of the magnitude, spatial scale and seasonality of measurable variability in soil attributes, plant growth and environmental conditions. They will be introduced to the role of sensing systems in measuring crop, soil and environment variability, and discover how this variability may have a significant impact on crop production systems. Precision Agriculture for Grain Production Systems will empower crop and soil science students, agronomy and agricultural engineering students, as well as agronomic advisors and farmers to critically analyse the impact of observed variation in resources on crop production and management decisions.


2005 ◽  
Vol 23 (1) ◽  
pp. 47-53
Author(s):  
H. Zhu ◽  
C.R. Krause ◽  
R.H. Zondag ◽  
R.D. Brazee ◽  
R.C. Derksen ◽  
...  

Abstract Techniques are needed to monitor nursery production practices for proper use of water resources and nutrient management. An experimental system to examine water quality, irrigation efficiency and drainage from pot-in-pot nursery container production was established in a commercial nursery. The system mainly consisted of 50 pot-in-pot containers with 50 trees irrigated with micro spray stakes, drainage water measurement devices, container-substrate moisture probes, thermocouples, a weather station, and data loggers. Tests indicated the system was capable to measure irrigation and rainfall inputs, drainage water loss, container substrate moisture content and temperature, leachate of nitrogen, phosphate and potassium in drainage water, and tree growth in pot-in-pot nursery production. The system provided a method to not only monitor the loss of water and nutrients but also continuously monitor the substrate temperature and moisture content during four seasons of a year to evaluate potentials of winter injury or summer heat damage to roots for pot-in-pot nursery production.


2020 ◽  
Vol 3 (2) ◽  
pp. 92-103
Author(s):  
Rita Amgain ◽  
Dinesh Khadka ◽  
Sushila Joshi ◽  
Rajan Malla

Understanding the soil fertility is an important management tool in assessing the nutrient requirement of the crops. Considering this, a study was done to determine depth-wise soil parameters distribution in the apple growing areas of Gharpajhog Rural Municipality, Mustang during October 2019. The total 68 sampling points were selected randomly in the different sites, and collection was done from three depths viz. 0-20cm, 20-40cm and 40-60cm by using soil sampling auger. The soil separates, pH, organic matter, total N, available P2O5 and K2O were determined following standard methods in National Soil Science Research Centre, Khumaltar. The results of the study revealed that the effect of depth was significant in the sand and silt proportion, while non- significant in clay proportion. The highest (40.17±1.57%) sand content was in 40-60cm depth, meanwhile highest (45.64±1.07%) silt content was in surface (0-20cm) depth. In addition to this, soil pH, OM, total N, available P2O5 and K2O were also affected by the depth. The highest (8.27) pH was determined in the lower (40-60cm) depth. On the other hand, highest OM (4.93±0.2%), total N (0.24±0.01%), available P2O5 (43.47±4.35 mg/kg) and available K2O (95.91±5.8 mg/kg) in surface (0.20 cm) depth. The surface depth possessed strong content of studied soil parameters might be due to in-situ incorporation of leaf litter, residue etc. as well as applied manure in the surface. Finally, we can also conclude that the adopted current nutrient management practice should be continued for apple production in the study area.


2015 ◽  
Vol 2015 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Wendell Khunjar ◽  
Ronald Latimer ◽  
Samuel Jeyanayagam ◽  
Chirag Mehta ◽  
Damien Batstone

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