Javascript must be enabled to continue!
Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop
View through CrossRef
Background: Under current scenario of High cost of Production of Sugarcane crop, it is need of time to decide specific seed rate for individual varieties. Sugarcane seed contributes to 10-20% of cost of production and farmers invests about Rs. 20000/- per acre on planting material. The costs of seed can be curtailed by optimizing seed rate. Similarly, seed rate varies with different varieties. In this view, a field experiment was carried out to optimize the seed rate of promising sugarcane clones. Methods: A field experiment was carried using randomized complete block design with factorial arrangements having three replications at Sugarcane Research Institute, Faisalabad during 2016-17 and 2017-18. Result: The results revealed that maximum cane diameter was recorded for S2008-AUS-133 at seed rate of 25000 and 50000 triple budded setts/ha. However; maximum number of canes/ha were recorded for S2008-AUS-133 at seed rate of 75000 setts/ha followed by HSF-240 at 75000 setts/ha. Maximum cane yield was noted for HSF-240 at seed rate of 75000 followed by S2008-AUS-133 at seed rate of 50000 and lowest can yield was recorded in S2003-US-127 at seed rate of 25000 triple budded setts/ha. Genotypic and phenotypic variances were higher for plant height (381.63, 133.91 cm) and cane yield (406.50, 330.65 kg/plot).Genotypic and phenotypic coefficient of variances were moderate for number of tillers (11.6%, 15.44%) and higher for cane yield (20.24%, 22.44%). It means that variability in 4 genotypes for cane yield was higher. Thus variety S2008-AUS-133 showed better performance at seed rate 75000 while during selection, number of tillers and height should be considered for further breeding program.
Agricultural Research Communication Center
Title: Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop
Description:
Background: Under current scenario of High cost of Production of Sugarcane crop, it is need of time to decide specific seed rate for individual varieties.
Sugarcane seed contributes to 10-20% of cost of production and farmers invests about Rs.
20000/- per acre on planting material.
The costs of seed can be curtailed by optimizing seed rate.
Similarly, seed rate varies with different varieties.
In this view, a field experiment was carried out to optimize the seed rate of promising sugarcane clones.
Methods: A field experiment was carried using randomized complete block design with factorial arrangements having three replications at Sugarcane Research Institute, Faisalabad during 2016-17 and 2017-18.
Result: The results revealed that maximum cane diameter was recorded for S2008-AUS-133 at seed rate of 25000 and 50000 triple budded setts/ha.
However; maximum number of canes/ha were recorded for S2008-AUS-133 at seed rate of 75000 setts/ha followed by HSF-240 at 75000 setts/ha.
Maximum cane yield was noted for HSF-240 at seed rate of 75000 followed by S2008-AUS-133 at seed rate of 50000 and lowest can yield was recorded in S2003-US-127 at seed rate of 25000 triple budded setts/ha.
Genotypic and phenotypic variances were higher for plant height (381.
63, 133.
91 cm) and cane yield (406.
50, 330.
65 kg/plot).
Genotypic and phenotypic coefficient of variances were moderate for number of tillers (11.
6%, 15.
44%) and higher for cane yield (20.
24%, 22.
44%).
It means that variability in 4 genotypes for cane yield was higher.
Thus variety S2008-AUS-133 showed better performance at seed rate 75000 while during selection, number of tillers and height should be considered for further breeding program.
Related Results
Effective Weed Management Strategies for Sustainable Cultivation of Sugarcane (Saccharum officinarum L.): A Comprehensive Review
Effective Weed Management Strategies for Sustainable Cultivation of Sugarcane (Saccharum officinarum L.): A Comprehensive Review
Sugarcane (Saccharum officinarum L.) is a significant crop in global agriculture, often referred to as "wonder cane" for its slow yet robust growth. Despite its importance, sugarca...
Analysis of Furrow Irrigation Design Parameters On Sugarcane Growth And Yield Parameters Under Wonji Shoa Climatic Condition
Analysis of Furrow Irrigation Design Parameters On Sugarcane Growth And Yield Parameters Under Wonji Shoa Climatic Condition
Abstract
Sugarcane is one of the important industrial crops produced all over the tropical areas. Sugarcane production is highly expanding in developing countries like Ethi...
Detection of seed-borne pathogens in sesame and their management through seed biopriming
Detection of seed-borne pathogens in sesame and their management through seed biopriming
Sesame is a significant oilseed crop cultivated extensively in the tropical and subtropical areas of India. Seed-borne pathogens are the most important biological constraints in se...
Successive Intercropping of Potato and Mungbean with Sugarcane
Successive Intercropping of Potato and Mungbean with Sugarcane
The experiment was carried out at the Bangladesh Sugarcane Research Institute (BSRI) farm at Ishurdi, Pabna, Bangladesh during2008-2009 and 2009-2010to investigate the growth and y...
Post-dispersal seed predation and seed bank persistence
Post-dispersal seed predation and seed bank persistence
AbstractThis study examines whether post-dispersal seed predators could be an important selective force in determining the seed bank strategies of grassland plants. It tests the hy...
Hama Penggerek Tebu dan Perkembangan Teknik Pengendaliannya
Hama Penggerek Tebu dan Perkembangan Teknik Pengendaliannya
<p>ABSTRACT<br />Effort has been made to improve sugarcane productivity, but it often confronted by pests. Pests in sugarcane caused a loss of about 10% sugar productio...
Sugarcane mosaic virus (sugarcane mosaic).
Sugarcane mosaic virus (sugarcane mosaic).
Abstract
Introduction: In the past, SCMV and other SCMD-causal viruses have caused serious losses in various maize and sugarcane-growing regions, including Hawaii, Egypt, N...
Spatial Predictive Modeling of the Burning of Sugarcane Plots in Northeast Thailand with Selection of Factor Sets Using a GWR Model and Machine Learning Based on an ANN-CA
Spatial Predictive Modeling of the Burning of Sugarcane Plots in Northeast Thailand with Selection of Factor Sets Using a GWR Model and Machine Learning Based on an ANN-CA
The main purpose of the study is to apply symmetry principles to general mathematical modelling based on multi-criteria decision making (MCDM) approach for use in development in co...

