Modeling the Response of Cassava to Fertilizers: A Site-Specific Nutrient Management Approach for Greater Tuberous Root Yield

Byju, G.; Nedunchezhiyan, M.; Ravindran, C.S.; Mithra, V. S. Santhosh; Ravi, V.; Naskar, S. K.

doi:10.1080/00103624.2012.662563

Cited by 30 publications

(45 citation statements)

References 18 publications

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“…It has been adapted for cassava production under Asian agroecological conditions by Byju et al (2012). The QUEFTS model is not yet calibrated for cassava production in West Africa.…”

Section: Modelling Cassava Cropping Systemsmentioning

confidence: 99%

“…The ratio of Yβ d /Uβ represents the maximum PhE (PhEmax), and the ratio Yβ a /Uβ the minimum PhE (PhEmin) of a given nutrient β. As recommended by several studies (Byju et al 2012;Witt et al 1999), to ensure that crop growth was mainly limited by nutrients, observations with an HI less than 0.40 were removed (six observations were removed, corresponding to 2.5% of the dataset with in total 240 observations). It was assumed that the intercepts of the boundary lines with the x-axis, describing the minimum nutrient uptakes required to produce measurable yield were nil since even the smallest nutrient uptakes values in our dataset were enough to produce storage roots yields.…”

Section: Relations Between Yield and Nutrient Uptake (Steps 3 And 4 Omentioning

confidence: 99%

“…Two approaches were tested to derive the minimum and maximum PhE values from the model calibration dataset. The first approach (Approach 1) consisted of plotting observed nutrient uptake (Uβ) in storage roots and tops (leaves plus stems) against observed storage root yield (Y), and to determine upper and lower boundary lines (Byju et al 2012;Pathak et al 2003;Witt et al 1999). Following Witt et al (1999), boundary lines for yields at maximum dilution (Y d ) and maximum accumulation (Y a ) were drawn based on data within the upper and lower 2.5 percentiles, respectively.…”

Section: Relations Between Yield and Nutrient Uptake (Steps 3 And 4 Omentioning

confidence: 99%

“…QUEFTS was originally developed for soil fertility evaluation, nutrient requirements assessment and yield prediction for maize under tropical conditions . It has been successfully tested in East Africa (Smaling and Janssen 1993), and thereafter adapted for other crops including rice (Haefele et al 2003;Sattari et al 2014;Witt et al 1999), wheat (Pathak et al 2003), grain legumes (Franke et al 2014) and cassava (Byju et al 2012) in various parts of the world.…”

Section: Introductionmentioning

confidence: 99%

“…As such, it is sensitive to harvest index ((HI, kg dry matter yield kg −1 total biomass dry matter), and to differences in the nutrient content of edible and other crop components (Sattari et al 2014). For cassava, differences in HI between cultivars can be large, but these were not considered in the QUEFTS model developed for cassava grown under Indian agroecological conditions (Byju et al 2012). Although HI is measured at harvest, its value is known a priori for every cultivar as provided by breeders.…”

Section: Introductionmentioning

confidence: 99%

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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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“…It has been adapted for cassava production under Asian agroecological conditions by Byju et al (2012). The QUEFTS model is not yet calibrated for cassava production in West Africa.…”

Section: Modelling Cassava Cropping Systemsmentioning

confidence: 99%

Section: Relations Between Yield and Nutrient Uptake (Steps 3 And 4 Omentioning

confidence: 99%

Section: Relations Between Yield and Nutrient Uptake (Steps 3 And 4 Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the productivity of cassava in West Africa

Ezui

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Nutrient use efficiency and harvest index of cassava decline as fertigation solution concentration increases

Omondi

Lazarovitch

Rachmilevitch

et al. 2018

J. Plant Nutr. Soil Sci.

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Response of cassava (Manihot esculenta Crantz) to fertigation as a form of nutrient delivery is unknown. The objectives of this study were to establish a balanced nutrition and to enhance agronomic nutrient use efficiency (ANUE) of cassava under fertigation. This study was conducted in the greenhouse and in the field. In both, the results showed a similar trend. There were six fertigation concentrations and three cassava varieties, selected for their duration of growth in the field. Shoot biomass of the long‐duration variety (Nalumino) was the highest, even though its dry root yield was the lowest (10.18 t ha−1) among the varieties. In contrast, the medium‐duration variety (Kampolombo) produced the highest dry root yield (20.34 t ha−1) and a lower shoot biomass. The highest root yield of the shortest‐duration variety (Mweru) was achieved at 200 mg N, 30 mg P, and 200 mg K L−1 (155.0, 23.3, 155.0 kg N, P, K ha−1), while Nalumino's was at 70 mg N, 7 mg P, and 70 mg K L−1 (54.3, 5.4, 54.3 kg N, P, K ha−1). ANUE and harvest index of these varieties declined as the fertigation concentrations increased. Additionally, the correlation between concentrations of N in the youngest fully expanded leaf (YFEL) blades and dry root yields was the lowest (R2 = 0.5488), whereas P and K were R2 = 0.7237 and R2 = 0.8006, respectively, an indication that nutrient concentrations in the leaf, especially N, cannot easily be used to predict root yield. When cassava reaches nutrient sufficiency, mainly N, its accumulation in the leaf continues without significant increase in the root yield.

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The Potassium Cycle and Its Relationship to Recommendation Development

Brouder

Volenec

Murrell

2020

Improving Potassium Recommendations for Agricultural Crops

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Nutrient recommendation frameworks are underpinned by scientific understanding of how nutrients cycle within timespans relevant to management decision-making. A trusted potassium (K) recommendation is comprehensive enough in its components to represent important differences in biophysical and socioeconomic contexts but simple and transparent enough for logical, practical use. Here we examine a novel six soil-pool representation of the K cycle and explore the extent to which existing recommendation frameworks represent key plant, soil, input, and loss pools and the flux processes among these pools. Past limitations identified include inconsistent use of terminology, misperceptions of the universal importance and broad application of a single soil testing diagnostic, and insufficient correlation/calibration research to robustly characterize the probability and magnitude of crop response to fertilizer additions across agroecozones. Important opportunities to advance K fertility science range from developing a better understanding of the mode of action of diagnostics through use in multivariate field trials to the use of mechanistic models and systematic reviews to rigorously synthesize disparate field studies and identify knowledge gaps and/or novel targets for diagnostic development. Finally, advancing evidence-based K management requires better use of legacy and newly collected data and harnessing emerging data science tools and e-infrastructure to expand global collaborations and accelerate innovation.

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Modeling the Response of Cassava to Fertilizers: A Site-Specific Nutrient Management Approach for Greater Tuberous Root Yield

Cited by 30 publications

References 18 publications

Understanding the productivity of cassava in West Africa

Understanding the productivity of cassava in West Africa

Nutrient use efficiency and harvest index of cassava decline as fertigation solution concentration increases

The Potassium Cycle and Its Relationship to Recommendation Development

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