S.M. Baibossynova, PhD in Agricultural Science
(Kazakh Rice Growing Research Institute. Corp LTD)
EFFECTS OF YEARS ENVIRONMENT ON
RELATIONSHIP OF MILLING GRAIN QUALITY COMPONENTS OF RICE
In modern
work of rice breeding – the main cereal cropper of Kyzylorda region – the percentage
of head rice per a crop acre is of primary importance. The percentage of head
rice is directly related to the accompanying quality production data (shape of
grain, hull content, translucent, cracking, and “white body”).
In these
latter days the frequently changing and unstable weather and climate
conditions, caused by the Aral environmental crisis, have adverse effect on
quality features, which, in their turn, reduce the efficient productivity. In
this connection the main requirement imposed to the new of rice variety, along
with its productivity, is a combination of high quality and sustainability
against adverse environmental factors. Great theoretical and practical
incentive to develop efficient selection methods is presented by revelation of
correlation principles of selected features. The goal of this research is to
study association of rice grain cereal properties and their changeability
depending on cultivation year conditions.
The
research materials included pattern seeds of 63 varieties and selection lines
of Kazakhstan, Krasnodar and Primorsky verges, Rostov region, Russia,
Uzbekistan, Ukraine, Spain, France, Italy, Hungary, Romania, Bulgaria, China,
Japan, Korea, Nepal, and Afghanistan. In accordance with methodological
recommendations of N.I. Vavilov VIR [1], on the laboratory polisher (ËÓÐ-1Ì) processing unit
was used to analyze main features (indications) of rice grain cereal
properties: length (L), width (W), thickness (Ò) of caryopsis, ratio of length to width of caryopsis (L/W), hull
content (HC), translucent (Òt), cracking (C) of
endosperm, number of grains with lengthwise mealy spot by the lower ventral
edge of caryopsis (“white body” - WB), percentage of polished rice (PPR), percentage
of head rice (PHR). Thereafter among all analyzed features there were
calculated the correlative coefficients of phenotypic correlations with the use
of SAS Institute [2] applications on a personal computer.
The
analyzed material was grown in Y2006 and Y2007. According to the Kyzylorda
Hydro-meteorological Center’s data, the monthly mean temperature of August 2007
was 3.5ºC higher than the same in Y2006, and 4.90Ñ higher than the average annual. Hot weather
conditions of August facilitated the advance ripening and formation of low
quality grains. The September temperature ambience was also adverse. The
monthly mean temperature in Y2007 turned to be 1.50Ñ lower than in Y2006.
Our
studies have defined that varying environmental conditions may cause changes
not only in quality features, but also in relations among them. Association
parameters of quality features were ranged into the three groups: 1)
correlations steady credible; 2) steady non-credible; and 3) unsteady credible
and non-credible (varying by years).
The
first, steady credible group, includes correlations of the following features: L-W
(-0,42 and -0,34 with patterns grown in years 2007 and 2006 respectively), L-Ò (-0,38 and -0,51), L-L/W (0,79 and 0,85), W-T (0,77 and
0,61), W-L/W (-0,81 and -0,77), W-WB (0,70 and 0,62), T-WB (0,67 and 0,60), L/W-WB
(-0,48 and -0,50), HC-PPR (-0,91 and -0,84), T-L/W (-0,61 and -0,64), Òt-PPR (0,30 and 0,33).
Cultivation-year-independent
non-credible relationship (Group 2) were observed in pairs L-HC (0,27 and 0,19),
L-Òt (0,07 and 0,01), L-C (-0,21 and
-0,25), L-WB (-0,24 and -0,27), W-HC (-0,19 and -0,11), W-C (0,14 and -0,01), W-Òt (-0,28 and -0,30), W-PPR( 0,20 and -0,12), Ò-HC (-0,31 and -0,28), Ò-Òt (-0,11 and -0,22), Ò-PPR (0,27 and 0,24), Ò-C (0,04 and 0,05), L/W-Òt (0,17 and 0,17), L/W-C
(-0,19 and -0,19), HC-Òt (-0,22 and -0,18),
HC-C (-0,13 and -0,29), HC-WB (-0,04 and -0,06), Òt-WB (-0,25 and -0,22), C-WB (0,02 and -0,10), C-PPR (0,11 and 0,29), WB-PPR
(-0,03 and -0,11).
Unsteady
parameters of accompanying features are presented in Table 1.
Table 1. Phenotypic Correlations of
Accompanying Features Depending on Cultivation Year
Correlating Features |
Years |
|
2006 |
2007 |
|
L-PPR |
-0,29 |
-0,44 |
L/W-HC |
0,19 |
0,32 |
L/W-PPR |
-0,15 |
-0,45 |
Òt-C |
-0,05 |
-0,33 |
Note: critical values r
under 1% level of importance 0.32 |
Statistically
valuable negative correlation has been noted between L and PPR and L/W and PPR
in an adverse year against the more optimal conditions of Year 2006. Presence
of positive relation L/W-HC in adverse conditions points out the increasing hull
content, which may result into decrease percentage of polished rice. Negative
relation Òt and C increased in an
adverse year. This means that Òt serves as a
limiting factor for cracking formation in caryopsis under changing
environmental conditions. Selection value of the “translucent” indication is also
caused by its non-credible correlation with brown rice shape. This allows it to
perform selection of genotypes with highly transparent endosperm and various
shape of caryopsis.
The
most interesting for selection performing is relationship of accompanying
indications with main feature (percentage of head rice - PHR) and their
changeability under environmental effect (Table 2).
Relation
with the main indication of features W, Ò, WB and PPR was
insufficient under effect of stress-inducing climate factors of year 2007.
Credible negative correlation of PHR with features L, L/W, C was present during
the both testing years. Practical experience knows the regular negative
influence of these features on the percentage of head rice.
Table 2. Association of PHR with Accompanying
Quality Features Depending on Cultivation Year Conditions
Correlating Features |
Years |
|
2007 |
2006 |
|
PHR – L |
-0,48 |
-0,46 |
- W |
0,28 |
0,36 |
- Ò |
0,28 |
0,33 |
- L/W |
-0,37 |
-0,48 |
- HC |
-0,20 |
-0,18 |
- Òt |
0,35 |
0,19 |
- C |
-0,63 |
-0,64 |
- WB |
0,25 |
0,29 |
- PPR |
0,32 |
0,23 |
Note: critical values r under 1% level of importance 0.32 |
Positive
correlation of PHR-Ò in an adverse
cultivation year conditioned by reducing cracking formation in caryopsis proves
the increased sustainability and plasticity of more translucent varieties in
extreme environmental conditions. That is why translucent of endosperm is not
only a highly reliable selection criterion for rice grain production properties
improvement, but also is an important factor of abiotical sustainability of varieties
during the stage of ripening.
Evaluation
of grain quality shall firstly be based on translucent of caryopsis endosperm.
Analysis of this feature, as it was shown earlier [3], may be performed on
singular caryopses beginning from the very first stages of selection work.
1. Instructional
Guidelines for Production Evaluation of Rice Pattern Grains; Classifier of Rice
Production Properties. – Leningrad – 1984 – 12 p.
2. SAS
Institute Inc. SAS/STAT user''s quide, Version 6, Fourth edition, Cary (Nc),
-1989. -¹1.
3. S.M.
Baibossynova. Development of Production Evaluation Methodology on Singular Rice
Grains. – Kazakhstan Agricultural Science Magazine – 2007 - ¹3- pp.6-7.