scholarly journals Crop yield mediated by honeybees in a star fruit orchard exhibiting atypical distyly

2021 ◽  
Vol 35 (3) ◽  
pp. 486-490
Author(s):  
Reinaldo Rodrigo Novo ◽  
Natan Messias de Almeida ◽  
Tulio Freitas Filgueira de Sá ◽  
Luiz Gonzaga Biones Ferraz ◽  
Elcida de Lima Araujo ◽  
...  
Keyword(s):  
2021 ◽  
Vol 24 (2) ◽  
pp. 224
Author(s):  
Rahmi Fitrah ◽  
Deni Pranowo ◽  
Suputa Suputa

The oriental fruit fly Bactocera dorsalis (Hendel) is an important pest of snake fruit (Salacca zalacca) in Sleman District. Due to the high level of damage by the fruit flies, it is necessary to do. The aim of this research was to find out suitable fruit traps, by testing the oviposition preferences of the fruit flies in the orchard to lay eggs on several types of fruit. The research was done in snake fruit orchard located at Sleman Yogyakarta and owned by farmers, while the Lab works were done at the Laboratory of Entomology, Department of Plant Protection, Faculty of Agriculture, Universitas Gadjah Mada. All researches were done between April-June 2019. Guava (Psidium guajava), watery rose apples (Syzygium aqueum), starfruit (Averrhoa carambolae), and snake fruit (Salacca zalacca) were used as trap crops. Each fruit, with the same maturity level, was hung 1.5 m above the ground for 4 days with 12 days total trapping at intervals of 3 times. After the test, each fruit was taken and the insects in it were reared in the laboratory. The number of pupae and flies that emerged from each fruit was counted and compared. The results showed that in the orchard 1 as well as  2, of guava fruit produced the highest number of (151 pupae) followed by salak (94 pupae), star fruit (83 pupae), and water guava (2 pupae). The finding of seeds shows that guava fruit is the most suitable host for the fruit flies to be used in the trapping, followed by star fruit and watery guava.


EDIS ◽  
2017 ◽  
Vol 2017 (4) ◽  
Author(s):  
Amy Simonne ◽  
Linda Bobroff

The carambola or star fruit is native to Southeast Asia. It was introduced to Florida about 100 years ago. This 4-page fact sheet is a major revision that discusses availability, selection, uses, nutritive value, and food safety during preparation of carambola. This document also includes several recipes.


2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.


2007 ◽  
Vol 35 (2) ◽  
pp. 769-772 ◽  
Author(s):  
Attila Megyes ◽  
Tamás Rátonyi ◽  
Dénes Sulyok
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Author(s):  
Sujata Mulik

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 


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