Developing a Coffee Yield Prediction and Integrated Soil Fertility Management Recommendation Model for Northern Tanzania

Maro, Godsteven; Mrema, Jerome; Msanya, Balthazar M.; Janssen, B.H.; Teri, J. M.

doi:10.9734/ijpss/2014/6883

Cited by 9 publications

(12 citation statements)

References 17 publications

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“…These problems are avoided by the use of the concepts of nutrient uptake equivalents [13], nutrient availability equivalents and nutrient application equivalents. As explained in [5], in a situation of balanced nutrition, nutrient uptake equivalents of N, P and K have equal effects on yield. It was also noted that the uptake of 1 kg N has the same effect on coffee yield as the uptake of 0.175 kg P or of 0.875 kg K.…”

Section: Calculation Of Economic Optimummentioning

confidence: 99%

“…1 is a schematic representation of the model, with economic loops added. The modules SOIL and PLANT have been summarized from [5], because they both constitute the baseline (no-input) approach. The module INPUT which constitutes the ISFM approach, has been further expounded to include organic and inorganic inputs and prices of each.…”

Section: Application To Actual Soil Data Hai and Lushoto Districtsmentioning

confidence: 99%

“…The soil nutrient supplies are rarely balanced, and one of the aims of ISFM intervention is to correct the imbalance. From [5,15], N is the most limiting nutrient, and should first be applied, then NP according their optimum proportions, and finally NPK (at low fertility levels however, P showed to be most limiting, as it gets fixed to unavailable forms at low pH). It was shown in the above sections that economically optimum application of one nutrient (X opt ) can be calculated with: X opt = (b* V Y -E X )/ (2c * V Y ).…”

Section: Economics Of Nutrient Inputs In Relation To Soil Datamentioning

confidence: 99%

“…The first paper [5] described a quantitative approach to fertilizer advice and yield estimation for coffee in Northern Tanzania, and proposed a fertilizer-yield model called SAFERNAC, developed by calibrating QUEFTS for coffee. The basic structure of the model was described, where some chemical soil characteristics, nutrient inputs and maximum yields per tree and per ha are model inputs and coffee yield is the model output.…”

Section: Introductionmentioning

confidence: 99%

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Economic Optimization of Nutrient Application to Coffee in Northern Tanzania Using SAFERNAC

Maro¹

2014

IJPSS

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The aim of this work, as an extension to SAFERNAC model, was to establish economically optimum combinations of N, P and K application to Arabica coffee in the Northern coffee zone of Tanzania. The study was conducted in Hai and Lushoto districts between 2010 and 2012. Prices of nutrient inputs and those of parchment coffee were introduced into the original SAFERNAC model, which was used to obtain yields from a soil of known properties receiving different levels of input N, P and K from both organic and inorganic sources (ISFM). The costs of these were derived from experience in Northern Tanzania, while coffee prices were estimated to range between 1250 and 2500 TZS kg-1. The result was economically optimum N:P:K ratios that give highest net returns and value : cost ratios in situations of low, medium and high soil fertility. It was also shown that farmers' decision to deviate from the optimum and the allowable level of such deviation, depend much upon the prices of nutrient inputs in equivalent terms. In the medium-fertility situation (which applies in the study districts), the highest yield increment was noted with the maximum amount of N and P. The optimum application rate was 310

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Section: Calculation Of Economic Optimummentioning

confidence: 99%

Section: Application To Actual Soil Data Hai and Lushoto Districtsmentioning

confidence: 99%

Section: Economics Of Nutrient Inputs In Relation To Soil Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Economic Optimization of Nutrient Application to Coffee in Northern Tanzania Using SAFERNAC

Maro¹

2014

IJPSS

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“…The concept of CNE allows summing up the total supply of N, P and K and quantitatively describing balanced nutrition as the situation where the supplies of each of the three nutrients are equal. Both CNE and balanced nutrition concepts were also applied by Maro et al (2014) for coffee production in Tanzania using QUEFTS model.…”

Section: Introductionmentioning

confidence: 99%

Understanding the productivity of cassava in West Africa

Ezui

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Drought stress and sub-optimal soil fertility management are major constraints to crop production in general and to cassava (Manihot esculenta Crantz) in particular in the rain-fed cropping systems in West Africa. Cassava is an important source of calories for millions of smallholder households in sub-Sahara Africa. The prime aim of this research was to understand cassava productivity in order to contribute to improving yields, food security and farm incomes in rain-fed cassava production systems in West Africa. A long-term goal was to contribute to a decision support tool for site-specific crop and nutrient management recommendations. Firstly, we studied farmers' perception of cassava production constraints, assessed drivers of diversity among households and analysed the suitability of farmers' resource endowment groups to the intensification of cassava production. The results indicate that farmers perceived erractic rainfall and poor soil fertility to be prime constraints to cassava production. The agricultural potential of the area and the proximity to regional markets were major drivers for the adoption of crop intensification options including the use of mineral and organic fertilizers. While the use of mineral and organic fertilizers was common in the Maritime zone that had a low agricultural potential, storage roots yields were below the national average of 2.2 Mg dry matter per hectare, and average incomes of 0.62, 0.46 and 0.46 US$ per capita per day for the high, medium and low farmer resource groups (REGs -HRE, MRE and LRE, respectively) were below the poverty line requirement of 1.25 US$. In the high agricultural potential Plateaux zone, HRE and MRE households passed this poverty line by earning 2.58 and 2.59 US$ per capita per day, respectively, unlike the LRE households with 0.89 US$ per capita per day. Secondly, we investigated the effects of mineral fertilizer on nutrient uptake, nutrient physiological use efficiency and storage roots yields of cassava since soil fertility was a major issue across the zones. We used an approach based on the model for the Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS). This model was successfully adapted for cassava and it appropriately assessed the response of cassava to N, P and K applications, especially in years with good rainfall. Under high drought stress, the model overestimated cassava yields. Thirdly, we investigated the impact of balanced nutrition on nutrient use efficiency, yield and return on investment compared to blanket fertilizer use as commonly practiced in cassava production systems in Southern Togo, and in Southern and Northern Ghana. The balanced nutrition approach of the QUEFTS model aimed to maximize simultanously nutrient use efficiency of N, P and K in accordance with the plant's needs. Larger nutrient use efficiencies of 20.5 to 23.9 kg storage root dry matter (DM) per kilo crop nutrient equivalent (1kCNE of a nutrient is the quantity of that nutrient that has the same effect on yield as 1 kg of N under balanc...

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Mineral Nutrition of Cocoa

Vliet

Giller

2017

Advances in Agronomy

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Developing a Coffee Yield Prediction and Integrated Soil Fertility Management Recommendation Model for Northern Tanzania

Cited by 9 publications

References 17 publications

Economic Optimization of Nutrient Application to Coffee in Northern Tanzania Using SAFERNAC

Economic Optimization of Nutrient Application to Coffee in Northern Tanzania Using SAFERNAC

Understanding the productivity of cassava in West Africa

Mineral Nutrition of Cocoa

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