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Impact of salinity on the fruit yield of mango (Mangifera indica L. cv. ‘Osteen’)

2004 ◽  
Vol 21 (3) ◽  
pp. 323-334 ◽  
Author(s):  
V.H.Durán Zuazo ◽  
A.Martı́nez Raya ◽  
J.Aguilar Ruiz
Keyword(s):  
2021 ◽  
Vol 226 ◽  
pp. 00045
Author(s):  
Syarif Husen ◽  
Erny Ishartati ◽  
Muhidin Muhidin ◽  
Devi Dwi Siskawardani ◽  
Anjar Rizky ◽  
...  

The purpose of this study was to observe the technology of mango fruit production at off-season used growth regulators. The research was conducted with three treatments namely: i) Paclobutrazol dosage (control, 5 mL L–1 per tree, 10 mL L–1 per tree and 15 L–1 per tree). ii) Ethephon dosages (0 mL L-1 per tree, 400 mL L–1 per tree, 600 mL L–1 per tree and 800 mL L–1 per tree) that applied 1 mo after paclobutrazol addition. iii) Paclobutrazol (P) and organic fertilizer (F) application in combination as follows: (control, 5 mL + 10 kg, 10 mL + 15 kg, 15 mL + 20 kg) Randomized Completely Block Designed (RCBD) with five replications was used. The results indicated that i) Paclobutrazol application accelerated the flowering age, shortens the panicle length, and increased fruit yield of the tree. ii) Giving Ethephon accelerated the flowering period, enhanced both the panicles number and yields. The treatment of ethephones 600 mL L–1 produced the highest fruit weight, 182.60 kg, respectively iii) The Paclobutrazol and organic fertilizer application indicated significantly (p < 0.05) to the panicles number and the fruit weight yield is higher than the control.


Author(s):  
Rajbir Singh Boora

The experiment was conducted at Punjab Agricultural University, Regional Fruit Research Station, Bahadurgarh, Patiala on 15-years old mango trees of cultivar Dushehari planted at 10x 10 m. to study the effect of different levels of inorganic fertilizers, organic manure and their time of application on yield and quality of mango fruit Cv. Dushehari. There were ten treatments for this research experiment that included different levels of FYM, N, P2O5 and K2O T1- FYM 100kg (End of December) T2-FYM 50Kg+N500g P2O5500g +K2O500g. (End December) T3-N 1000g+P2O5 1000g+K2O1000g (End December) T4-FYM 100kg (Early July), T5-FYM 50 Kg+N500g P2O5 +500 g+K2O500g.(Early July) T6-N 1000g+P2O5 1000g+K2O1000g (Early July), T7- FYM 100kg (End September), T8- FYM 50Kg+N500g+P2O5 500 g+K2O500g.(End September)T9- N1000g+P2O51000g+K2O1000g (end September) and T10-Control. The results of the experiment showed that maximum fruit yield (66.85 kg/plant) and maximum number of fruits (347/tree) were obtained with the application of 50 kg. farm yard manure along with 500 g each of nitrogen, phosphorus and potassium per tree in the month of September before flower bud differentiation.


Author(s):  
Megha Rajpoot ◽  
T.R. Sharma ◽  
R.M. Sharma

Background: Mango is one of the most important fruits in the world. The superior position of mango is due to its very wide and variety utilization and because of that, the main goal of all mango breeding programs is to obtain new inbred and hybrids that will outperform the existing hybrids concerning many traits for efficient selection of fruit yield, like the most important economic traits, regarding its on the great influence the environmental factors, has a complex mode of inheritance and low heritable is necessary to know the relation between fruit yield and other traits which are influencing on fruit yield. The current study aimed to verify the variability and correlation between the traits in fruit yield, to practice indirect selection. Methods: In this field investigation during 2018-19, Forty diverse clones (vegetative propagate) of mango cv. Langra were selected on Fruit Research Station (Farm), Imalia, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.) to determine the genotypic correlation along with their direct and indirect effects through path coefficient analysis in mango as to estimate the contribution of most important characters towards yield. Result: Yield was positively and significantly correlated with panicle length (0.38**), length of leaves (0.22*). The residual effect of path analysis was -0.06 revealed higher genetic variability and also proved a lower per cent of environmental influence on the selected characters of mango clones of Langra. Higher positive direct effects on yield were exhibited by the length of leaves, the width of leaves, flower shoot length, number of panicles, number of flowers, and fruit drop %. In combination with correlation coefficient and path analysis, it was found that the length of leaves gave a significant positive correlation coefficient with yield and also produce a high positive direct effect.


2019 ◽  
Vol 20 (2) ◽  
pp. 725-737 ◽  
Author(s):  
Rani Kumari ◽  
Manoj Kundu ◽  
Anupam Das ◽  
Rajiv Rakshit ◽  
Sanjay Sahay ◽  
...  

2019 ◽  
Vol 37 (4) ◽  
pp. 415
Author(s):  
Samuel Salazar-García ◽  
Martha Elva Ibarra-Estrada ◽  
Edgardo Federico Hernández-Valdés ◽  
Raúl Medina-Torres ◽  
Luis Enrique Fregoso-Tirado

There is considerable diversity in fertilization management of ‘Ataúlfo’ mango (Mangifera indica L.) in the state of Nayarit, Mexico, and there is no systematic information available in this regard. The aim of this research was to evaluate the medium-term effect (2010‑14) of the site-specif ic fertilization approach on fruit yield and size in ‘Ataúlfo’ mango grown under rainfed conditions (annual average summer rainfall 1300-1450 mm). Two commercial orchards at 8 × 8 m spacing, one each in San Blas and Compostela municipalities in Nayarit were chosen. Fertilization treatments were: 1) Normal dose, which considered tree nutrient demand, periods of maximum root growth, nutrients provided by the soil, leaf nutrient concentrations and fertilization eff iciency; 2) High dose (1.5 times the normal dose); 3) Control, annual application of 3 kg per tree of 17-17-17 (N, P2O5, K2O). Soil and leaf samples were taken for nutrient analysis throughout the study. Treatments were randomly applied to 20 single tree-replicates at each orchard. For cumulative yield and fruit size a 2 × 3 factorial arrangement (orchards × treatments) was used. For leaf nutrient concentrations, the year and fertilization treatments effect was analyzed using 10 replicates per treatment. Means comparison was performed with the Waller-Duncan test (P ≤ 0.05). The Normal dose increased yield 38% as compared to the Control, as well as fruit size. The highest total fruit yield and C22 (196-220 g) and C20 (221-250 g), as well as the highest cost-benef it, were obtained with the Normal dose. This treatment consisted of applying per year and tree, depending on the orchard, 509-608 g N, 21-206 g P, 132-582 g K, 19-234 g Mg, 6.5-18 g Fe, 6-46 g Mn, 2-6 g Zn and 3-13 g B.


2006 ◽  
Vol 9 (4) ◽  
pp. 717-722 ◽  
Author(s):  
Chutichudet Benjawan ◽  
P. Chutichudat . ◽  
K. Boontiang . ◽  
T. Chanaboon .

2018 ◽  
Vol 8 (03) ◽  
Author(s):  
B. Lal ◽  
D. Mishra ◽  
P. Barman

A field experiment was conducted to evaluate the impact of planting systems on tree canopy volume and fruit yield in mango cv. Dashehari under Lucknow condition. The treatments were comprised of five planting systems viz., square system (100 plants ha-1), hedgerow system (166 plants ha-1), double hedgerow system (222 plants ha-1), cluster system (178 plants ha-1) and paired row system (133 plants ha-1). The experiment was laid out in a randomized block design with four replications. The pooled data from the year 2004-05 to 2012-13 indicated that, vegetative growth in terms of tree canopy volume was found higher under hedge row and double hedge row system of planting. Maximum cumulative fruit yield and also mean yield were obtained in double hedge row system of planting (55.72 and 6.19 t ha-1, respectively).


Author(s):  
Arun Kumar Barholia ◽  
Sangeeta Yadav

Selection indices based on their genetic merit of fruit characters were constructed for fruit yield/tree in 48 genotypes in mango (Mangifera indica L.). Genotypes, SBM 01-35, SBM 01-26, SBM 01-9, SBM 01- 10 and SBM 01-26 in on year while, SBM 01-12, SBM 01-36, SBM 01-26, SBM 01-28 and SBM 01- 9 in off year recorded highest fruit yield /tree. Genotypes SBM 01-10, SBM 01-36, SBM 01-09, SBM 01-30 and SBM 01-6 exhibited comparatively high estimates of selection indices during on year while, SBM 01-36 followed by SBM 01-12, Totapari, SBM 01-17 and SBM 01-29 showed the maximum estimates of selection index for fruit yield/ tree during off year. Alphonso followed by SBM 01-5, SBM 01-13, Langra and SBM 01-14 during on year and Dashehari, Safeda, SBM 01-3 and SBM 01-39 in off year exhibited the minimum estimates of varietal indices. Genotypes differed considerably in their ranking pattern based on selection indices. Genotypes SBM 01-9, SBM 01-10, SBM 01-30, SBM 01-6 and SBM 01-36 showed maximum varietal indices and phenotypic performance in both the years thus, appeared promising for use as parent in mango improvement programme.


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