Influence of Growth Retardants on Vegetative Growth of Apple (Malus × domestica Borkh.) Cultivars under High Density Planting System

Ahad, Shabnam; Simnani, Shamim A.; Sharma, M. K.; Mir, Shakeel Ahmad; Bhat, Sajad Ahmad; Murtaza, Imtiyaz; Mumtaz, Sara; Ashraf, Sabiha; Hamid, Mehnigar; Majid, Insha

doi:10.9734/cjast/2022/v41i454017

Cited by 1 publication

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References 8 publications

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“…The coefficient of years of farming experience is 0.130 indicates that if farming experience is increased by one year, it will lead to an increase of 0.130 tons of apple production per hectare. This finding aligns with the result of (Ahmed et al, 2022) and (Ghulam and Bahadur, 2017) suggesting that the more a person gains experience, they become more open to try new and improved innovations, learning from the benefits and disadvantages of their old practices. The coefficient of tree density is 0.004 indicating that if tree density is increased by a unit (trees per hectare), it will lead to an increase of 0.004 tons of apple production per hectare.…”

Section: Discussionsupporting

confidence: 87%

Productivity Determinants and Production Constraints of Apple (<I>Malus</i> Spp) in Jumla District of Nepal

Gautam,

Chapai,

Dhital

et al. 2024

ijh

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A study was conducted to determine the factors affecting apple productivity and production constraints in the Jumla district of Nepal from February to June 2023. A total of 70 respondents were selected by using a simple random sampling technique. Semi-structured questionnaires and focus group discussions were used to collect the primary data. Secondary data were collected from ADO reports, Apple super zone and, CBS. SPSS was used to analyze the collected data and descriptive statistics were used to describe socio-demographic characteristics using frequency and percentage. A multiple regression model was used to determine factors affecting Apple's productivity. It showed that 61.7% of the productivity was explained by independent variables used in the model. The result of the regression model showed that years of farming experience and tree density were found positively significant at 10% and 1% level of significance. Intercropping was found negatively significant at 10% level of significance. The relative importance index method was used for ranking the production constraints of Apple. Insect disease damage was found to be the most important constraint to apple production with a high index value (0.911) followed by problem of irrigation (0.703), ineffective extension services (0.497), unavailability of inputs (0.451) and labor costs (0.437). Therefore the study suggests increased tree density, years of farming experience, and the introduction of effective bio pesticides are needed for improving the apple sector in the study area. For the better production and productivity of apple, further study on effective biopesticides, promising resistant varieties and sustainable orchard management practices are needed.

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Section: Discussionsupporting

confidence: 87%