Distribution of resistance of cassava genotypes to dry, soft and black root diseases and correlation to yield parameters

2021 ◽  
Author(s):  
Jessica Hellen dos Santos Teixeira ◽  
Macelle Amanda Silva Guimarães ◽  
Suane Coutinho Cardoso ◽  
Alexsandro dos Santos Brito ◽  
Yslai Santos Peixouto ◽  
...  
Keyword(s):  
Root Diseases ◽  
Yield Parameters

Effects of different cadmium levels on the growth and yield parameters of wild Vigna

2018 ◽  
Vol 63 (2) ◽  
pp. 169-182
Author(s):  
Beckley Ikhajiagbe ◽  
◽  
Geoffery O. Anoliefo ◽  
Edokpolor O. Ohanmu ◽  
Ephraim Aliu ◽  
...  
Keyword(s):  
Growth And Yield ◽  
Yield Parameters

Multivariate Analysis, Genetic Diversity and Phenotypic Correlation of Nineteen Exotic Groundnut Accessions

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
YPJ AMARASINGHE ◽  
G . WIJESINGHE ◽  
R W PUSHPAKUMARA
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Growth Parameters ◽  
Principal Component ◽  
Phenotypic Correlation ◽  
Clustering Method ◽  
Yield Parameters ◽  
Arachis Hypogaea L ◽  
Semi Arid ◽  
Number Of Branches

19 Groundnut ( Arachis hypogaea L. ) genotypes receiv ed from International Crops Research Institute for Semi Arid T ropics (ICRISA T) India w ere ev aluated in a non replicated trial and the characters w ere subjected to multiv ariate analysis to study the v ariability within the genotypes. The first 5 axes of the principal component analysis captured 78% of the total v ariability and identified yield parameters such as number of pods per plant, pod w eight per plant and growth parameters such as number of branches per plant, plant spread, and pod characteristics as the characters contributing most to total v ariation. Phenotypic correlation analysis rev ealed that the yield has positiv e correlation with the characters such as number of pods per plant and number of branches per plant. W ards clustering method has grouped the genotypes into 3 distinct clusters. The results can be applied in order to strengthen the breeding program

scholarly journals Evaluation of Silicon and Proline Application on the Oxidative Machinery in Drought-Stressed Sugar Beet

Antioxidants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 398
Author(s):  
Muneera D. F. AlKahtani ◽  
Yaser M. Hafez ◽  
Kotb Attia ◽  
Emadeldeen Rashwan ◽  
Latifa Al Husnain ◽  
...  
Keyword(s):  
Antioxidant Enzymes ◽  
Drought Stress ◽  
Phenolic Compounds ◽  
Sugar Beet ◽  
Harmful Effect ◽  
Sugar Yield ◽  
Total Phenolic ◽  
Total Phenolic Compounds ◽  
Sod Activity ◽  
Yield Parameters

Drought stress deleteriously affects growth, development and productivity in plants. So, we examined the silicon effect (2 mmol) and proline (10 mmol) individually or the combination (Si + proline) in alleviating the harmful effect of drought on total phenolic compounds, reactive oxygen species (ROS), chlorophyll concentration and antioxidant enzymes as well as yield parameters of drought-stressed sugar beet plants during 2018/2019 and 2019/2020 seasons. Our findings indicated that the root diameter and length (cm), root and shoot fresh weights (g plant−1) as well as root and sugar yield significantly decreased in sugar beet plants under drought. Relative water content (RWC), nitrogen (N), phosphorus (P) and potassium (K) contents and chlorophyll (Chl) concentration considerably reduced in stressed sugar beet plants that compared with control in both seasons. Nonetheless, lipid peroxidation (MDA), electrolyte leakage (EL), hydrogen peroxide (H2O2) and superoxide (O2●−) considerably elevated as signals of drought. Drought-stressed sugar beet plants showed an increase in proline accumulation, total phenolic compounds and up-regulation of antioxidant enzymes catalase (CAT) and superoxide dismutase (SOD) activity to mitigate drought effects. Si and proline individually or the combination Si + proline considerably increased root and sugar yield, sucrose%, Chl concentration and RWC, MDA and EL were remarkably reduced. The treatments led to adjust proline and total phenolic compounds as well as CAT and SOD activity in stressed sugar beet plants. We concluded that application of Si + proline under drought stress led to improve the resistance of sugar beet by regulating of proline, antioxidant enzymes, phenolic compounds and improving RWC, Chl concentration and Nitrogen, Phosphorus and Potassium (NPK) contents as well as yield parameters.

Milk protein polymorphism in Danish dairy cattle and the influence of genetic variants on milk yield

1990 ◽  
Vol 57 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Anne-Marie Bech ◽  
K. Rotvig Kristiansen
Keyword(s):  
Dairy Cattle ◽  
Milk Fat ◽  
Milk Protein ◽  
Gene Frequencies ◽  
Black And White ◽  
Milk Samples ◽  
Yield Parameters ◽  
Jersey Cows ◽  
Β Lactoglobulin ◽  
Danish Dairy

SummaryIn milk samples from 549 cows of the breeds Danish Jersey, Red Danish Dairy Cattle (RDM), and Black and White Danish Dairy Cattle (SDM) the genetic polymorphisms of the αs1, β and K-cascin and β-lactoglobulin (β-Lg) loci were determined by isoelectric focusing in agarose gels. The results of the screening were comparcd with results obtained by Larsen & Thymann (1966). In addition, the genetic linkage of the three casein loci was studied, and the association between milk protein genotypes and yields in first and second lactations of milk, fat and protein were investigated.The distribution of genotypes of all four milk protein Systems was different from breed to breed.For Jersey cows, significant differences in the gene frequencies from the results of the 1966 investigation were found for αs1 and K-casein and β-Lg. For SDM cows a change in the K-casein frequency had occurred whereas for RDM cows no changes were found.Linkage between some of the casein loci was found within ail three breeds. For the RDM breed the possible linkage between αs1-casein and the other caseins could not be tested bccause nearly ail thc cows were homozygous for the αs1-cascin-B genotypes.β-Casein genotypes were associated with yield parameters in ail breeds. The A2A2 genotype of this protein gave higher yields of milk, fat, and protein in the second lactation than thc A1A1 genotype.

Yield and Yield Contributing Attributes Of Potato as Influenced by Vermicompost And Seed Tuber Size

2021 ◽  
Vol 19 (1) ◽  
pp. 71-79
Author(s):  
M Mostofa ◽  
TS Roy ◽  
R Chakraborty
Keyword(s):  
Seed Tuber ◽  
Maximum Yield ◽  
Potato Production ◽  
Tuber Size ◽  
Factor B ◽  
Yield Parameters ◽  
Study Results ◽  
Split Plot ◽  
Two Factors ◽  
Plot Design

Low yield is crucial bottleneck for potato production in Bangladesh. The application of vermicompost may enhance the yield of potato. The experiment was consisted of two factors, i.e., Factor A: - Vermicompost level (Vm1-4): Vm1: 0 t ha-1, Vm2: 3 t ha-1, Vm3: 6 t ha-1 and Vm4: 9 t ha-1; Factor B:- Tuber size (T1-5): T1: 5-10 g, T2: 10-20 g, T3: 20-30 g, T4: 30-40 g and T5: > 40 g. The experiment was conducted in a split-plot design with three replications. Vermicompost had significant effect on most of the yield contributing parameters investigated under present study. Results revealed that yield parameters increased with increasing vermicompost level irrespective of tuber size. Among the twenty (20) treatment combinations, vermicompost at the rate of 9 t ha-1 with tuber size > 40 g produced the maximum yield (31.33 t ha-1) that was 53.53 % higher than that of control with 3273.01 $ of monetary advantage. Therefore, present study suggests that potato growers may use vermicompost for increasing yield of potato in Bangladesh. SAARC J. Agric., 19(1): 71-79 (2021)

Biological Control of Root Diseases with Pseudomonads

1992 ◽  
pp. 175-184 ◽  
Author(s):  
Albert Rovira ◽  
Maarten Ryder ◽  
Adrian Harris
Keyword(s):  
Biological Control ◽  
Root Diseases
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