scholarly journals Integrated selection criteria in sugarcane breeding programs using discriminant function analysis

2020 ◽  
Vol 44 (1) ◽  
Author(s):  
Farrag F. B. Abu-Ellail ◽  
Eman M. A. Hussein ◽  
A. El-Bakry
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Agricultural Research ◽  
Function Analysis ◽  
Sugar Yield ◽  
Cane Yield ◽  
Research Station ◽  
Discriminant Score ◽  
High Sugar ◽  
Stalk Weight

Abstract Background Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agricultural Research Station. Results The results showed the studied traits observed in all genotypes were significantly different. The results could significantly discriminate between low and high sugar yield genotypes by describing eleven traits including sugar yield (ton/fed), cane yield (ton/fed), number of stalk/m2, stalk weight (kg), stalk height (cm), stalk diameter (cm), number of internodes, Brix %, sucrose %, purity %, and sugar recovery %. High sugar yield genotypes were selected by discriminant analysis. The discriminant score (DS) could explain 79.2% of sugar yield variations and had a significant canonical correlation (0.89**). Results of discriminant function analysis (DFA) indicated that the most important traits, in order of appearance, are stalk weight, stalk height, purity %, Brix%, and cane yields. Conclusions Genotypes, G.2017-43, G.2017-42, G.2017-29, G.2017-33, and G.2017-44, showed the highest values of the discriminant score and were recognized as the highest yielder sugarcane genotypes. While the genotypes named Vis, G.2017-30, G.2017-10, G.2017-27, G.2017-25, G.2017-70, G.2017-41, G.2017-40, G.2017-35, and G.2017-58, recognized as the lowest yielder sugarcane genotypes which represent the lowest values of the discriminant score.

Reliability of morphometric measures for determining the sex of adult and fledgling shy albatrosses, Diomedea cauta cauta, in Australia

1998 ◽  
Vol 25 (1) ◽  
pp. 69 ◽  
Author(s):  
April Hedd ◽  
Rosemary Gales ◽  
Nigel Brothers
Keyword(s):  
Sex Differences ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Sex Allocation ◽  
Function Analysis ◽  
Relative Size ◽  
Head Length ◽  
Head Width ◽  
Measuring Head ◽  
Discriminant Score

Dissection and measurement of the carcasses of shy albatrosses, Diomedea cauta cauta, provided morphometric data from known-sex birds from fledgling age to adulthood. These data were used to determine the efficacy of external measures for reliably identifying the sex of birds in the field. As fledglings were smaller than adults and subadults in all measures, separate age-specific equations were developed for assigning their sex. Sexual dimorphism was evident in all head, beak and leg measurements for the adult and subadult birds, with males being significantly larger than females, while there were no sex differences in measures of the wings and tail. Beak and head measurements, along with the weight of fledglings, were taken, and sex differences were evident for all parameters. A stepwise discriminant function analysis of the seven head and beak measures (head length, head width, basal bill width, culmen length, basal bill depth, minimum bill depth and upper bill depth) indicated that 98% of adult and subadult birds could be correctly sexed by measuring the upper bill depth and head width, whilst the sex of 89% of fledglings could be discerned by measuring head length and width and the minimum bill depth. Discriminant scores overlapped less for adults–subadults than for fledglings, indicating that external measurements may be used more reliably to sex this age-class. Data from three experienced observers indicated significant differences in the morphometric measures taken from the same individual albatrosses. The extent of these differences, however, varied greatly depending on the measure taken (i.e. beak v. wing measures), with head and beak measures showing the least inter-observer differences. Such differences resulted in a decrease in the success rate of the adult–subadult discriminant function analysis from 98 to 90%. When working with breeding birds, sex-allocation errors can be reduced by measuring both members of a pair and allowing the relative size of the discriminant score to identify the individuals concerned.

scholarly journals Diversity of Potato Varieties in Bangladesh

2021 ◽  
Vol 3 (3) ◽  
pp. 56-61
Author(s):  
Sharmila Rani Mallick ◽  
AKM Quamruzzaman ◽  
Md. Altaf Hossain ◽  
M. Mizanur Rahman ◽  
Md. Azizul Hoque ◽  
...  
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Agricultural Research ◽  
Function Analysis ◽  
Mean Value ◽  
Research Centre ◽  
Potato Varieties ◽  
Randomized Design

A study based on completely randomized design with three replications was carried out at Tuber Crops Research Centre (TCRC), Bangladesh Agricultural Research Institute (BARI), Gazipur with a view to evaluating and classifying agro-morphological traits in 12 potato varieties to enumerating the genetic diversity. Discriminant function analysis (DFA) was done to determine the set of discriminatory functions contributed to separating 12 potato varieties into four distinct clusters. Discriminant function analysis showed that, function 1 explained 78.21% and function 2 explained 21.79% of total variance. The first function was more related to leaf area (having coefficient value of 0.661) and second function was more related to minituber per plant and plant height (having coefficient value of 0.644 and 0.523, respectively). Among 4 clusters, cluster II showed the highest distance (29.79) with cluster III followed by the distance between clusters III and IV (24.70) so the varieties in these clusters were genetically diverse. Based on mean value of the six quantitative characters for each of the four clusters and the inter cluster distance the cluster III and IV might be selected for future breeding program as a better parent to get positive heterosis. Cluster III contained six varieties BARI Alu 29, BARI Alu 35, BARI Alu 36, BARI Alu 37, BARI Alu 7 (Diamant), BARI Alu 8 (Cardinal) and which were characterized by lowest plant height and average values for other characters. Cluster IV contained three potato varieties BARI Alu 41, BARI Alu 46 and BARI Alu 53 which was characterized by highest plant height and second highest leaf area.

scholarly journals Variasi morfometrik tiga jenis kepiting biola jantan (Decapoda: Ocypodidae) yang ditangkap di Kawasan Mangrove Jaboi, Pulau Weh, Indonesia

DEPIK ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 464-470
Author(s):  
Djamani Rianjuanda ◽  
Ilham Zulfahmi ◽  
Kavinta Melanie ◽  
Chairun Nisa ◽  
Epa Paujiah ◽  
...  
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Fiddler Crab ◽  
Function Analysis ◽  
Sediment Type ◽  
Suitable Habitat ◽  
Research Station ◽  
Crab Species ◽  
Morphometric Variation ◽  
Mangrove Area

The objective of the present study was to analyze the morphometrics variation of three male fiddler crab species collected from Jaboi mangrove area, Weh island, Indonesia. A total of 50 male fiddler crab species from each species (Tubuca dussumieri, Gelasimus vocans and Austruca perplexa) were collected from three research station used digging method and direct capture. The number of morphological characters that measured was 18 characters. The water quality and soil parameters observed were salinity, pH of water and soil, water temperature, C-organic concentration in substrate and sediment type. ANOVA (confidence interval of 95%) and Discriminant Function Analysis was used for analizing the morphometric variation beetwen species. The results showed that the mangrove area of Jaboi, Weh island provides a suitable habitat characteristic for male fiddler crab. Tubuca dussumieri and Gelasius vocans tend distributed in the area with sediment type of mud, while Austruca perplexa tends distributed in the area with sediment type of sand. The result of statistical analysis showed that there were ten separate characters between Tubuca dussumieri and Gelasimus vocans, 17 separate characters between Tubtubuca dussumieri and Austruca perplexa, and 13 separate characters between Gelasimus vocans and Austruca perplexa. Morphometrics variation can be observed in the carapace, propodus, mouth, walking legs, and eye stalks.Keywords:Morphometric variationCarapacs lengthBig propudusSmall propudusWalking legsABSTRAKPenelitian ini bertujuan untuk mengetahui variasi morfometrik tiga jenis kepiting biola jantan yang ditangkap di kawasan mangrove Jaboi Pulau Weh, Indonesia. Sebanyak 50 ekor kepiting biola jantan dari masing masing jenis (Tubuca dussumieri, Gelasimus vocans dan Austruca perplexa) dikoleksi dari tiga titik stasiun penelitian menggunakan metode digging dan pengambilan langsung. Jumlah karakter morfometrik kepiting jantan yang diukur adalah sebanyak 18 karakter. Parameter kualitas air dan tanah yang diukur meliputi salinitas, pH air, pH tanah, suhu air, kandungan C-organik subtrat dan tipe sedimen. Analisis terhadap data morfometrik dilakukan menggunakan ANOVA (selang kepercayaan 95%) dan Discriminant Function Analysis. Hasil penelitian mengungkapkan bahwa kawasan mangrove Jaboi, Pulau Weh memiliki karakteristik habitat yang sesuai bagi kepiting biola. Tubuca dussumieri dan Gelasimus vocans cenderung terdistribusi pada wilayah dengan persentase tipe sedimen lumpur yang lebih tinggi, sementara Austruca perplexa cenderung terdistribusi pada wilayah dengan persentase tipe sedimen pasir yang lebih tinggi. Hasil analisis statistik menunjukkan bahwa terdapat 10 karakter pembeda antara Tubuca dussumieri dengan Gelasimus vocans, 17 karakter pembeda antara Tubtubuca dussumieri dengan Austruca perplexa dan 13 karakter pembeda antara Gelasimus vocans dengan Austruca perplexa. Variasi morfometrik tersebut dapat terlihat pada bagian karapas, capit, mulut, kaki gerak dan tangkai mata.Kata kunci:Variasi morfometrikPanjang karapasCapit besarCapit kecilKaki gerak

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

scholarly journals Description of Echolocation Call Parameters for Urban Bats in Vietnam as a Step Towards a More Integrated Acoustic Monitoring of Urban Wildlife in Southeast Asia

Diversity ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Long Kim Pham ◽  
Bang Van Tran ◽  
Quy Tan Le ◽  
Trung Thanh Nguyen ◽  
Christian C. Voigt
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Quantitative Description ◽  
Southeast Asian ◽  
Asian Countries ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Pilot Work ◽  
Southeast Asian Countries

This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.

Mineralogy of Egyptian Bentonitic Clays I: Discriminant Function Analysis

2012 ◽  
Vol 60 (4) ◽  
pp. 387-404 ◽  
Author(s):  
Mohamed Agha ◽  
Ray E. Ferrell ◽  
George F. Hart
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis

Using discriminant function analysis to identify Holocene tephras based on magnetite composition: a case study from the Sunwapta Pass area, Jasper National Park

1986 ◽  
Vol 23 (6) ◽  
pp. 804-812 ◽  
Author(s):  
A. B. Beaudoin ◽  
R. H. King
Keyword(s):  
National Parks ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
National Park ◽  
Function Analysis ◽  
Classification Schemes ◽  
Jasper National Park ◽  
Multivariate Method ◽  
Reference Samples

The magnetite composition from three sets of samples of Mazama, St. Helens set Y, and Bridge River tephras from Jasper and Banff national parks are used to test whether discriminant function analysis can unambiguously distinguish these tephras. The multivariate method is found to be very sensitive to the change in reference samples. St. Helens set Y tephra is clearly distinguished. However, discrimination between Mazama and Bridge River tephras is less distinct. A set of unknown tephras from the Sunwapta Pass area was used to test the classification schemes. Unknown tephras are assigned to different tephra types depending on which reference tephra set is used in the discriminant function analysis.

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