Crop production: management.

Crane, Jonathan H.; Salazar-García, Samuel; Lin, Tun; Pinto, António Costa; Shu, Zhang; Litz, R. E.

doi:10.1079/9781845934897.0432

Cited by 12 publications

(7 citation statements)

References 24 publications

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“…The producers also face problem to deliver their products for potential market (Addis Abeba) because of lack of adequate infrastructure and majority of producers has small holdings and cannot afford to own their own transport vehicles. Smallholder farmers use pack animal (donkey), human back and cart as means of transportation during marketing of mango [18]. The volume of production of mango was about 41,100 in the year of 2015.…”

Section: Contextual Factors In Mango Value Chainmentioning

confidence: 99%

Strategic Analysis of Mango (Mangifera indica) Value Chain in Dilla Zuriya District, Dilla Ethiopia

Kassa

2017

IJPSS

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Dilla Zuriya has a suitable agro-climatic condition for production of horticultural crops. There are ample garden mango trees in Dilla zuriya at farmer's holdings. The livelihood of most of these farmers is highly supplemented by the sale of mango fruits and other horticultural. The objective of this study is to analysis value chain of mango in Dilla Zuriya district. The analysis of sub sector was done to identify general constraints and causes of the main problem. Information for the analysis of sub sector was gathered through an interview with agricultural officer of the district and desk study from a wide range of secondary sources. The analysis of gathered information done using value chain analysis and presented by chain map, PESTEC, SWOT and problem tree. Contextual factors surrounding Mango value chain were identified by the analysis. Dilla zuriya smallholder farmers earn less income from mango production because of post-harvest losses, low price of mango and low productivity that results in limited capital to improve their farm and low living standard. The yield is low as compared to other mango growing areas in Ethiopia. Most farmers are using poor harvest and post-harvest handling practices due to lack of awareness and lack post-harvest handling technologies. In addition, they are having limited access to central market. These problems are not caused because of a single actor. Solving these problems need collaboration between different stakeholders in the chain. Therefore, stakeholders must work hand in hand to improve the smallholder farmers' income and sub sector in the district.

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Section: Contextual Factors In Mango Value Chainmentioning

confidence: 99%

Strategic Analysis of Mango (Mangifera indica) Value Chain in Dilla Zuriya District, Dilla Ethiopia

Kassa

2017

IJPSS

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“…Mango ( Mangifera indica ) trees are moderately wind tolerant, which depends to a considerable degree on tree size, with larger, unpruned trees more susceptible to branch breakage and uprooting during intense cyclones as compared to pruned ones (Bally 2006 ; Crane et al 2009 ). Protection from prevailing winds by creating windbreaks on mango orchards increases productivity due to reduced physical damage to leaves and fruits, and improved fruit sets (Janick and Paull 2008 ).…”

Section: Impacts Of Climate Change On Some Major Pacific Crops and Brmentioning

confidence: 99%

Unlocking the inherent potential of plant genetic resources: food security and climate adaptation strategy in Fiji and the Pacific

Palanivel

Shah

2021

Environ Dev Sustain

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Pacific Island Countries (PICs) are the center of origin and diversity for several root, fruit and nut crops, which are indispensable for food security, rural livelihoods, and cultural identity of local communities. However, declining genetic diversity of traditional food crops and high vulnerability to climate change are major impediments for maintaining agricultural productivity. Limited initiatives to achieve food self-sufficiency and utilization of Plant Genetic Resources (PGR) for enhancing resilience of agro-ecosystems are other serious constraints. This review focuses on the visible and anticipated impacts of climate ge, on major food and tree crops in agriculture and agroforestry systems in the PICs. We argue that crop improvement through plant breeding is a viable strategy to enhance food security and climatic resilience in the region. The exploitation of adaptive traits: abiotic and biotic stress tolerance, yield and nutritional efficiency, is imperative in a world threatened by climatic extremes. However, the insular constraints of Fiji and other small PICs are major limitations for the utilization of PGR through high throughput techniques which are also cost prohibitive. Crop Improvement programs should instead focus on the identification, conservation, documentation and dissemination of information on unique landraces, community seed banks, introduction of new resistant genotypes, and sustaining and enhancing allelic diversity.

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“…Mango tree production (i.e., kg of fruit per tree) relies on management practices (e.g., irrigation and fertilization regimes) [38] and environmental conditions (e.g., soil, climate) [39], which both vary in time and in space. Furthermore, mango trees display strong reproductive asynchronism and fruiting irregularity within and between the years due to several endogenous and exogenous factors [10].…”

Section: Load Indexmentioning

confidence: 99%

Mango Yield Mapping at the Orchard Scale Based on Tree Structure and Land Cover Assessed by UAV

et al. 2018

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In the value chain, yields are key information for both growers and other stakeholders in market supply and exports. However, orchard yields are often still based on an extrapolation of tree production which is visually assessed on a limited number of trees; a tedious and inaccurate task that gives no yield information at a finer scale than the orchard plot. In this work, we propose a method to accurately map individual tree production at the orchard scale by developing a trade-off methodology between mechanistic yield modelling and extensive fruit counting using machine vision systems. A methodological toolbox was developed and tested to estimate and map tree species, structure, and yields in mango orchards of various cropping systems (from monocultivar to plurispecific orchards) in the Niayes region, West Senegal. Tree structure parameters (height, crown area and volume), species, and mango cultivars were measured using unmanned aerial vehicle (UAV) photogrammetry and geographic, object-based image analysis. This procedure reached an average overall accuracy of 0.89 for classifying tree species and mango cultivars. Tree structure parameters combined with a fruit load index, which takes into account year and management effects, were implemented in predictive production models of three mango cultivars. Models reached satisfying accuracies with R2 greater than 0.77 and RMSE% ranging from 20% to 29% when evaluated with the measured production of 60 validation trees. In 2017, this methodology was applied to 15 orchards overflown by UAV, and estimated yields were compared to those measured by the growers for six of them, showing the proper efficiency of our technology. The proposed method achieved the breakthrough of rapidly and precisely mapping mango yields without detecting fruits from ground imagery, but rather, by linking yields with tree structural parameters. Such a tool will provide growers with accurate yield estimations at the orchard scale, and will permit them to study the parameters that drive yield heterogeneity within and between orchards.

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Crop production: management.

Cited by 12 publications

References 24 publications

Strategic Analysis of Mango (Mangifera indica) Value Chain in Dilla Zuriya District, Dilla Ethiopia

Strategic Analysis of Mango (Mangifera indica) Value Chain in Dilla Zuriya District, Dilla Ethiopia

Unlocking the inherent potential of plant genetic resources: food security and climate adaptation strategy in Fiji and the Pacific

Mango Yield Mapping at the Orchard Scale Based on Tree Structure and Land Cover Assessed by UAV

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