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Câmpus de Jaboticabal









EXPLORATORY MULTIVARIATE TECHNIQUES TO

DISCRIMINATE LOTS OF SOYBEAN SEEDS.

Proc. Fapesp 2006/57900-0

Rafael Marani Barbosa, Juliana Faria dos Santos, Antônio Sérgio Ferraudo, José Eduardo Corá, Roberval Daiton Vieira

São Paulo State University - UNESP, Via Ac.. Paulo D. Castellane, s/n, 14884-900 Jaboticabal, SP, Brazil



INTRODUCTION Statistics Procedures : Table 1. Water content (before and after aging - MC and

Normality (Shapiro-Wilk test ) MCAA), germination (GE), accelerated aging (AA),

Of ownership a high number of lots, the best

electrical conductivity (EC), seedling emergence (SE) and

choice for sowing can not be addressed in remarks Homoscedasticity of variances (Cochran test) water stress germination on potential of 20, 40 and 60%.

Anova, completely randomized design, Tukey test, of 20 lots of soybean seeds.

to the potential performance evaluated by

Lots MC MCAA GE AA EC SE WS40 WS60 WS80

germination test or only for a test vigor. A more (p<0.05). ------------------- % ----------------- µS.cm-1.g-1 ------------------- % -----------------



comprehensive analysis can be useful and Multivariate techniques : BRS Valiosa RR

L1 12.3 28.6 95 a* 85 a 68 a 86 a 90 aA 87abA 69 aB

necessary for the choice of the lot by considerations •Cluster Analysis : hierarchical method

L2 12.2 29.4 94 a 88 a 70 a 86 a 91 aA 88abA 63 abcB



involving more than one test available for assessing Euclidean Distance: measure of similarity L3 12.6 28.0 94 a 87 a 70 a 83 a 93 aA 84 bB 61 abcC

L4 12.3 28.8 90 a 82 a 68 a 89 a 89 aA 94 aA 63 abcB

the potential performance of seed lots. between pairs of lots.

L5 12.0 28.6 92 a 90 a 70 a 87 a 87 aA 87abA 65 abB

Therefore, multivariate analysis allows to Amalgamation (linkage) rule: UPGMA L6 12.2 28.8 93 a 91 a 66 a 84 a 88 aA 94 aA 57 bcdB



discriminate lots that have characteristics in (Unweighted Pair Group Method with Arithmetic L7 12.1 28.7 94 a 81 a 67 a 86 a 90 aA 96 aA 58 bcdB

L8 11.6 28.8 93 a 84 a 72 a 83 a 90 aA 95 aA 58 bcdB

common and interpret on the use of such lots. Average).

L9 11.8 29.2 95 a 87 a 69 a 82 a 91 aA 95 aA 50 dB

Principal Components : to detect variables with high

Multivariate analysis has techniques to L10 12.2 29.0 95 a 85 a 72 a 86 a 87 aA 94 aA 55 cdB

discriminatory degree.

CV (%) - - 4.7 6.8 6.7 4.2 7.25

understand the dependence structure contained in All tests were processed by the STATISTICA software

M-SOY 7908 RR

version 7.0.

the variables and characterizing groups of samples L1 12.0 28.8 96 a 75 a 90 a 81 a 86 abA 93 aA 46 cdB

L2 12.0 28.7 95 a 79 a 77 a 83 a 96 aA 92 aA 47 cdB

in specific standards.

RESULTS AND DISCUSSION

6

L3 11.9 27.6 97 a 79 a 91 a 83 a 89 abA 85 aA 55 bcdB

L4 11.1 27.8 97 a 72 a 86 a 81 a 78 bA 77 aA 42 dB

OBJECTIVE 5

L5 11.7 28.3 97 a 72 a 87 a 78 a 86 abA 85 aA 60 abcB



I II

L6 12.5 29.1 97 a 78 a 77 a 84 a 93 abA 87 aA 68 abB

4



L7 12.8 27.8 96 a 81 a 85 a 83 a 96 aA 92 aA 44 cdB

The objective of this study was to discriminate 3

L8 11.6 27.8 94 a 75 a 84 a 79 a 93 abA 93 aA 75 aB



soybean seed lots, using variables observed in the L9 11.5 28.9 94 a 78 a 94 a 83 a 91 abA 87 aA 59 bcdB

Linkage Distance









2





L10 12.1 29.7 95 a 79 a 99 a 82 a 93 abA 87 aA 44 cdB

physiological potential analysis of the seeds. 1

CV (%) - - 2.3 5.8 12.3 3.2 13.4

0

ML4 ML8 ML6 ML5 ML7 ML2 ML10 ML9 ML3 ML1 VL4 VL9 VL10 VL8 VL7 VL6 VL5 VL3 VL2 VL1





Figure 1. Dendrogram resulting from hierarchical cluster analysis showing the formation Tabela 2. Correlation between each component,

MATERIALS AND METHODS of groups according to the germination, accelerated aging, electrical conductivity, and evaluation of physiological performance of

seedling emergence in the field, and water stress germination on potential of 20, 40 and

60%.

soybean seeds cv BRS Valiosa RR and M-SOY

4

7908 RR.

PC2: 17.16%



3 ML4 Variables CP1 CP2

10 lots cv. BRS Valiosa RR II SE Germination -0.84 -0.02

2

10 lots cv. M-SOY 7908 RR. I VL5

Accelerated Aging 0.83 0.11

1 VL1 WS80

AA

Moisture content: 2×25 seeds 105 °C; ML5 ML3 VL3

VL10 VL2 VL6 VL4

Seedling Emergence 0.81 0.27

0 ML9 ML6 VL7

VL8

Germination: 4×50 seeds paper roll at 25 °C; ML1

VL9 PC1: 48.70% Electrical Conductivity -0.84 -0.26

GE

-1 ML10



Vigor – Acel. Aging: 250 seeds 42 °C por 48 h; ML8

ML7 ML2

Water Stress 40% 0.30 -0.83

-2 Water Stress 60% 0.58 -0.59

Vigor – Eletrical Condut.: 4 × 50, 75 mL, read after EC WS60

-3 WS40 Water Stress 80% 0.47 0.10

24 hours of soaking at 25 °C;

-4

Seedling Emergence: 4 × 50 seeds, grooves with 2 -5 -4 -3 -2 -1 0 1 2 3 4 5



Figura 2. Dispersion (Biplot graph) the physiological performance of different seed lots of soybean cv. BRS Valuable RR (initial

m length, spaced at 0.4 m. Reads taken after 14 letter 'V') and M-SOY 7908 RR ('M'). GE: germination; EC: electrical conductivity; SE: seedling emergence in the field, AA:

accelerated aging; WS40, WS60 WS80: germination under water stress in the potentials of 40, 60 and 80, respectively.



days

Water stress: 4 × 50 seeds, plastic box (28.5 × 18.5 CONCLUSIONS

× 10 cm); Relation air/water in the proportion of 20,

• Cluster analysis allowed the stratification of the lots in groups;

40, 60 and 80% of pores filled with water, based on

• The principal component analysis showed that the variables SE, AA and WS 40, 60 and 80

.

particle density and total density:

. are more associated with BRS Valiosa RR while GE and EC are more associated with the

cultivar M-SOY 7908.

ACKNOWLEDGEMENTS



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