Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators

A field experiment was established to study sweet potato growth, starch dynamic accumulation, key enzymes and gene transcription in the sucrose-to-starch conversion and their relationships under six K2O rates using Ningzishu 1 (sensitive to low-K) and Xushu 32 (tolerant to low-K). The results indicated that K application significantly improved the biomass accumulation of plant and storage root, although treatments at high levels of K, i.e., 300–375 kg K2O ha−1, significantly decreased plant biomass and storage root yield. Compared with the no-K treatment, K application enhanced the biomass accumulation of plant and storage root by 3–47% and 13–45%, respectively, through promoting the biomass accumulation rate. Additionally, K application also enhanced the photosynthetic capacity of sweet potato. In this study, low stomatal conductance and net photosynthetic rate (Pn) accompanied with decreased intercellular CO2 concentration were observed in the no-K treatment at 35 DAT, indicating that Pn was reduced mainly due to stomatal limitation; at 55 DAT, reduced Pn in the no-K treatment was caused by non-stomatal factors. Compared with the no-K treatment, the content of sucrose, amylose and amylopectin decreased by 9–34%, 9–23% and 6–19%, respectively, but starch accumulation increased by 11–21% under K supply. The activities of sucrose synthetase (SuSy), adenosine-diphosphate-glucose pyrophosphorylase (AGPase), starch synthase (SSS) and the transcription of Susy, AGP, SSS34 and SSS67 were enhanced by K application and had positive relationships with starch accumulation. Therefore, K application promoted starch accumulation and storage root yield through regulating the activities and genes transcription of SuSy, AGPase and SSS in the sucrose-to-starch conversion.

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Correlation and path analysis on yield and yield components in segregating populations

10.1063/5.0052842 ◽

2021 ◽

Author(s):

Ali Mustofa ◽

Siti Zubaidah ◽

Heru Kuswantoro

Keyword(s):

Path Analysis ◽

Yield Components ◽

Yield And Yield Components ◽

Correlation And Path Analysis

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Fodder Beet (Beta Vulgaris Var Crassa) Yield and Quality Attributrs As Affected By Nitrogen Fertilization and Foliar Boron Application

Passive Remote Study of the Aerosol in the Upper Atmosphere of the Earth ◽

10.47363/jeesr/2020(2)131 ◽

2020 ◽

pp. 1-6

Author(s):

Entessar Al-Jbawi ◽

◽

Faddi Abbas ◽

Keyword(s):

Nitrogen Fertilization ◽

Yield Components ◽

Dry Matter ◽

Foliar Application ◽

Dry Matter Yield ◽

Root Yield ◽

Fodder Beet ◽

Fertilization Rates ◽

Yield And Quality ◽

Scientific Agriculture

A field experiment was conducted during two seasons 2018/2019 and 2019/2020 at Homs Agriculture Research Center, General Commission for Scientific Agriculture Researches (GCSAR), Syria, to study the effect of nitrogen fertilization rates and foliar application of boron on root yield and quality and dry matter yield of fodder beet. Results showed that the effect of nitrogen fertilization was significant (p≤0.001) for all studied traits except brix%. The effects were significant positive on root, shoot and biological yields, sucrose percentage, root, shoot and total dry matter yields. On the other hand the effect of boron spraying was presented for each season separately, because the differences of boron treatments were significant for all parameters except brix% at each season, and HI at the two seasons, while the differences of years were significant for all parameters except for HI. the highest yield and yield components were achieved by adding 300 kg N/ha with the addition of boron under Homs governorate conditions.

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Influence of Plant Density and Nitrogen Fertilizer Rates on Yield and Yield Components of Beetroot (Beta vulgaris L.)

International Journal of Agronomy ◽

10.1155/2021/6670243 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Zerihun Sinta ◽

Gezahegn Garo

Keyword(s):

Beta Vulgaris ◽

Nitrogen Fertilizer ◽

Yield Components ◽

Plant Density ◽

Production Costs ◽

Root Yield ◽

Marginal Rate ◽

Yield And Yield Components ◽

Plant Densities ◽

Fertilizer Rates

Ethiopia is endowed with diverse agroecologies suitable for the production of tropical, subtropical, and temperate vegetables. Agronomic practices such as plant density and fertilizer management are known to affect the crop environment, which influences the growth and ultimately the yield. So far limited research has been done on plant density determination and rate of nitrogen fertilizer in Ethiopia in general and the study area in particular. Thus, this experiment was carried out to evaluate the influence of plant density and nitrogen fertilizer rates on the yield and yield components of beetroot (Beta vulgaris L.). Four plant densities (133 333, 100 000, 80 000, and 66 666 plants per hectare) and four nitrogen (N) fertilizer rates (0, 46, 92, and 138 kg N ha−1) were arranged in a factorial combination in a randomized complete block design with three replications. The results revealed that the main and interaction effects of plant density and nitrogen fertilizer rates on total root yield, root length, root fresh weight, root diameter, and total soluble solute of beetroot were significant. The highest root yield of beetroot was achieved from the combination of 66 666, 80 000, and 10 0000 plant ha−1 with 92 kg N ha−1, whereas the lowest root yield of beet was obtained from the combination of 0 kg N ha−1 with a planting density of 133 333 plants ha−1. The economic analysis showed that higher net benefit and marginal rate of return were obtained from the application of 92 kg N ha−1 with plant densities of 66 666 plants ha−1. In order to prevent excessive production costs, the use of 66 666 plants ha−1 combined with the application of 92 kg N ha−1 is recommended.

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Determination relevant breeding criteria by the path and factor analysis in maize

Genetika ◽

10.2298/gensr1401049f ◽

2014 ◽

Vol 46 (1) ◽

pp. 49-58 ◽

Cited By ~ 5

Author(s):

Milomir Filipovic ◽

Milosav Babic ◽

Nenad Delic ◽

Goran Bekavac ◽

Vojka Babic

Keyword(s):

Factor Analysis ◽

Grain Yield ◽

Path Analysis ◽

Yield Components ◽

Genetic Material ◽

Grain Moisture ◽

Yield And Yield Components ◽

Two Factors ◽

Yield Factor ◽

Statistic Approach

In the process of plant breeding the application of relevant breeding criteria is very important. The Path analysis is broadly applied with the aim to define yield components that mostly determine the yield and that can be used as quality breeding criteria. However, the significance of revealed relationships between yield and yield components can be affected by various factors, such as diverse genetic material that is observed, traits included into analysis, environments in which the material is observed, as well as, the applied statistic approach to determine the nature of the relationships itself. The interrelationships of yield and yield components of 15 commercial maize hybrids were observed using the Path and factor analyses. According to results of Path analysis, plant height, ear diameter and grain moisture had highly significant genetic and phenotypic direct effects on grain yield. At the same time, factor analysis points out significant effects of two factors on grain yield. Factor 1 was mostly determined by ear length and number of kernels per row, while grain moisture content, ear and cob diameter mostly determined Factor 2.

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Growth, yield and water use of drip irrigated cassava planted in the late rainy season of North Eastern Thailand

Indian Journal of Agricultural Research ◽

10.18805/ijare.a-339 ◽

2018 ◽

Author(s):

A. Polthanee ◽

M. Srisutham

Keyword(s):

Water Use ◽

Starch Content ◽

Growth Yield ◽

Dry Season ◽

Storage Root ◽

Root Yield ◽

Supplementary Irrigation ◽

Significant Difference ◽

Four Levels ◽

Cassava Varieties

Field experiment was carried out at Agronomy Experimental Farm, Faculty of Agriculture, Khon Kaen University in 2015-2016 to investigate the response of cassava to supplementary irrigation during the dry season month. The experiment was laid out in split plot design with four replications. The main plots comprised two cassava varieties (Huaybong 80 and Rayong 11). The sub l included four levels of drip irrigation [I-20, EV-40 mm (crop received 20 mm of water when daily cumulative pan evapolation value reached 40 mm during the dry season months)]; [I-20, EV-60 mm] ; [I-10, EV-40 mm] ; [I-10, EV-60 mm] and [I-10] (cassava under rainfed condition without additional irrigation)]. Results indicated that irrigation at (I-20, EV-40 mm) produced maximum the fresh (52 t ha-1) and dry (22 t ha-1) storage root yield. Huaybong 80 variety a gave significantly higher the storage root yield than that of Rayong 11 variety. The highest starch content also was obtained in the (I-20, EV-40 mm) treatment. There was no significant difference in the starch content between the two cassava varieties. Water were applied in treatment [I-20, EV-40 mm], [I-20, EV-60 mm], [I-10, EV-40 mm] and [I-10, EV-60 mm] was an average 299 mm, 194 mm, 150 mm and 97 mm, respectively during the growing season. Water use efficiency was the highest (35.3 kg ha-1 mm-1) in the [I-20, EV-60 mm] treatment.

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