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THE MINISTRY OF AGRICULTURE AND RURAL DEVELOPMENT
Sectoral plan ADER 2020,
for the years 2015-2018
Project: ADER 11.1.1. ” Technological solutions and technical means of improvement
with minimal inputs of permanent degraded meadows by surface measures”
Project coordinator
Grassland Research and Development Institute Brașov
- Project director: Phd. eng. Blaj Vasile Adrian
Partners in the project
Grassland Research and Development Station Timişoara
- Responsible for Project: Prof. phd. Dragomir Neculai
Grassland Research and Development Station Vaslui
- Responsible for Project : Phd. eng. Ichim Emil
www. pajisti-grassland.ro
Project title:ADER 11.1.1. "Technological solutions and technical means of improvement
with minimal inputs of permanent degraded meadows by surface measures"
Coordinator/
Partners
Contract
value
(lei)
Value after
amendments
( lei)
From which per year:
2015 2015 2017 2018
GRDI Brașov - CP 610850 610850 125850 161000 162000 162000
GRDS Timișoara - P1 91000 91000 22000 23000 23000 23000
GRDS Vaslui – P2 61000 61000 15000 16000 15000 15000
TOTAL 762850 762850 162850 200000 200000 200000
Funds allocated to the project in accordance with the original contract and additional annual acts
Stages/Activities Termene
I. - Synthesize of researches regarding the improvement of degraded pastures by surface methods;
Identification of areas with permanent degraded permanent pastures to be improved by surface measures.
15.02.
2016
I.1 – Synthesize of research on improvement with minimal inputs of degraded pastures by surface measures
I.2 - Identification of degraded grassland types with high extrapolation zonal conditions
II - Conceiving and locating the experimental fields; Establishment of mixtures of grasses and perennial forage legumes 15.07.
2016II.1 - Conceiving the experimental sheets and location of the experimental fields
II.2 - Establishment of mixtures of grasses and perennial legumes according to the pedoclimatic conditions and different ways of use
III - Determining and analyzing the results from experimental fields set up in 2016 01.11.
2016III.1 - Evaluation of feed production and quality in experimental fields
IV - Analysis of causes of pasture degradation and technical means for mechanizing implementation of technological solutions 15.07.
2017IV.1 - Analysis of causes of pasture degradation and pedoclimatic conditions; Identification of limiting factors
IV.2 - Improvement of technical means for performing the technological sequences
V - Tests of the technical means and further observations on the evaluation of the production and feed quality of the experimental fields 31.10.
2017V.1 -Exploitation tests of grassland leveling equipment
V.2 - Evaluation of feed production and quality in experimental plots
VI - Verification of zonal improvement technologies by surface measures of degraded pastures 15.07.
2018VI.1 – Establishing the demonstrative lots under different stationary conditions and degrees of degradation
VII - Promotion of zonal technologies through different dissemination methods (brochures, leaflets with new technological solutions and
technical means, demonstration of the usefulness of technologies)
31.10.
2018
VII.1 - Finalizing and organizing the experimental database after three vegetation cycles in order to establish technological solutions for the
improvement of the meadows by surface methods
VII.2 - Dissemination and utilization of results
Extract from
THE PLAN OF IMPLEMENTATION OF PROJECT
Zonal distribution of permanent grassland in Romania,
area affected by limiting factors and green mass production (Dragomir N., 2018)
RESULTS
A – Bibliographic documentation
The area of
vegetation
Altitude
(m)
Total area
Area affected by
the limitative
factors
The remaining
surface for use
Estimated
production of
green mass
million
hectares%
thousand
hectares%
million
hectares%
thousand
tons%
Lowland and low
plateaus grassland
0-200-
3500,63 13 63 10 0,57 14 2850 13
Hills and high
plateaus grassland
200-600-
8001,44 30 144 10 1,30 31 9100 42
Mountain
grassland
800-
1600-
1800
2,16 45 320 15 1,84 43 7360 34
Alpine grassland >1800 0,10 2 20 15 0,08 2 240 1
Interzonal and
zonal grasslandx 0,48 10 48 10 0,43 10 2150 10
Total (media) x 4,81 100 595 12 4,22 100 21700 100
Indicator plants for assessing the degradation stage of a grassland (after CREMER et. al., 2012)
Latin name
Wet
soil
s
Dry
soil
s
Aci
d s
oil
s
Alk
alin
eso
ils
Ric
h s
oil
Poor
soil
s
Soil
sw
ith
exce
ssN
Over
gra
zed
gra
ssla
nd
Under
gra
zed
gra
ssla
nd
Com
pac
t
soil
s
Gra
ssla
nd
use
dfo
r
mow
ing
Achillea millefolium xx x
Bromus mollis x xx
Capsella bursa-pastoris xx xx
Anthriscus sylvestris xx xx xx
Elymus repens xx xx xx x
Festuca pratensis x x x
Festuca rubra xx xx
Phleum pratense x x xx
Anthoxanthum odoratum xx x
Pteridium aquilinum xx x x
Arrhenatherum elatius xx
Heracleum sphondylium xx x xx
Urtica dioica xx xx
Juncus effusus xx x
Luzula campestris xx xx
Mentha aquatica xx xx
Stellaria media xx xx x x
Bellis perennis x xx xx
Poa annua x xx x
Rumex acetosella x xx xx
Taraxacum officinale x x
Plantago lanceolata x x xx
Plantago major x x xx xx
Hypochaeris radicata x xx x
Lolium perenne xx
Ranunculus acris x x x x
Ranunculus bulbosus xx xx
Ranunculus repens xx x
Polygonum aviculare x x xx xx
Rumex obtusifolius x xx xx
Alopercus pratense xx x x x
The main parts of grassland leveling equipment are:
• frame assembled (1);
• left leveling blades (2);
• right leveling blade (3);
• posterior leveling blade (4);
• front disc battery (5);
• left side discs battery (6);
• right side discs battery (7);
• lifting-lowering mechanism
for the rear leveling blade (8);
• hydraulic installation (9);
• rolling wheels (10);
• towing hitch (11).
B - Technical means for conducting mechanized technological works
- energy source- wheeled or crawler tractors with powers of 59-81 kW (80-110 hp)
- machine type- trailed during work;- half-wound while traveling
- dimensions:- length- width- height
7000 mm2110 mm1150 mm
- number of discs: -12 on front battery;- 4 every side battery
- disc type: - notched discs (scalloped) at the front battery;- smooth discs on side batteries
- disc diameter: 460 mm
- distance between discs: 180 mm
- working width 2,0 m
- equipment mass 1500 kg
Constructive technical characteristics of Grassland Leveling Equipment GLE- 2,0
Operational tests of the experimental model were made in aggregate with a
wheeled tractor, type 4x4, with 100 HP (New Holland TL100), on two plots of land with
annual and multi-annual anthills covered with grass, located near the headquarters of the
Grassland Reserch and Development Institute Brasov.
The main indices of mining for grassland leveling equipment are the following:
> Working speed- 2,0 m/s sau 7,2 km/h,
> Real working width- 1,95 m,
> Hourly fuel consumption - 10,0-12,0 l,
> Effective working capacity - 1,2-1,3 ha/h.
location of experience
(at BCPM Blana Bucegi)
C.1. ” Improvement of degraded by Nardus stricta subalpine grassland by paddocking ,
phosphorus fertilization and over-sowing”
Variants of the experience
Experience is trifactorial in subdivided plots
and three rehearsals.
The three factors are:
Factor A: paddocking 1 cow /6 m2
a1 – 2 nights*
a2 – 4 nights* in the year 2008
a3 – 6 nights*
* + 4 nights in the year 2012
Factor B: herbicide
b1 – without herbicides
b2 – glifosat 5 l/ha
Factor C: fertilization
c1 – without fertilization
c2 – 100 kg/ha P2O5
-Phleum pratense TIROM 19,6%
-Festuca pratensis TRANSILVAN 27,6%
-Lolium perenne MARTA 11,8%
-Festuca rubra MUSICA 7,8%-Lolium multiflorium TIRNA 7,8%
-Poa pratensis COMPACT 3,9%
-Trifolium pratense PAVO 7,8%
-Lotus corniculatus LEO 7,8%
-Trifolium repens RIESLING 3,9%
-Phalaris arundinacea 2,0%
Common treatment overseeding 50kg/ha with a mixture of seeds consisting of:
C – Results from experimental fields and demonstration batches
The influence of factor A – PADDOCKING
The influence of factor B – HERBICIDE
Impact of improvement factors on dry matter production, Blana Bucegi, 2014 -2016
0
0.5
1
1.5
2
2.5
3
a1a2
a3
1.77 mt
2.15 **
2.57 ***
SU t
/ha
DL 5% = 0,15; DL 1% = 0,25; DL 0,1% = 0,47 t/ha
2
2.1
2.2
2.3
b1
b2
2.08 mt
2.25 *
SU t
/ha
DL 5% = 0,14; DL 1% = 0,21; DL 0,1% = 0,35 t/ha
Interaction of Factors B x CDL 5% = 0,19; DL 1% = 0,26; DL 0,1% = 0,36 t/ha
Organic
fertilization
Crude protein content DifferenceSemnif.
g/100 g % g/100 g
Paddocking -
2 nights8.63 100 mt
Paddocking -
4 nights9.18 106 0.55 *
Paddocking -
6 nights8.68 101 0.05
8.2
8.4
8.6
8.8
9.0
9.2
a1
a2
a3
8.63 mt
9.18 *
8.68
pro
tein
a
g/1
00
g S
U
DL 5% = 0,44; DL 1% = 0,73; DL 0,1% = 1,37
49
49
50
50
51
51
52
52
a1
a2
a3
49.70 mt
51.52 *
51.07 *
DSU
Organic
fertilization
DMD DifferenceSemnif.
indc % t/ha
Paddocking -
2 nights49.70 100 mt
Paddocking -
4 nights51.52 104 1.82 *
Paddocking -
6 nights51.07 103 1.37 *
DL 5% = 1,24; DL 1% = 2,06; DL 0,1% = 3,86
Influence of Improvement Factors on the quality of the feed
Blana Bucegi 2014 -2016
Crude protein content Digestibility of dry matter
The experience is bifactorial placed in
subdivided plots and three rehearsals.
Experimental factors are:
Factor A – herbicide
a1 – without herbicides
a2 – Glifosat 5l/ha
Factor B – liming
b1 – without liming
b2 – liing 4 t CaO/ha
Common treatment
- Paddocking 4 nights a cow/6 m2 at the
establishment of the experience (2008) and
repeated in year 2013
- Fertilization with 100 kg/ha P2O5
Overseeding with a mixture of seed of
perennial grasses and legumes, 50 kg/ha,
C.2. ” Effect of herbicide and liming as measures to improve Nardus stricta subalpine pastures”
location of experience
(at BCPM Blana Bucegi)
0.00
1.00
2.00
3.00
a1a2
2.25 mt 2.71 *
SU t
/ha
Impact of improvement factors on dry matter production, Blana Bucegi 2010 - 2017
HerbicideDM production Difference
Signif.t/ha % t/ha
Without herbicide 2,25 100 mt
Glifosat 5L/ha 2,71 120 0,46 *
DL 5% = 0,35; DL 1% = 0,81; DL 0,1% = 1,83 t/ha
Influence of herbicides factor on production of dry matter,
Blana Bucegi, 2010-2013
b1b2
2,00 mt2,13 *
SU t
/ha
LimingDM production Difference
Signif.t/ha % t/ha
Without liming 2,00 100 mt
Liming 4 t CaO/ha 2,13 107 0,13 *
DL 5% = 0,11; DL 1% = 0,65; DL 0,1% = 1,21 t/ha
Influence of the liming factor on the production of dry
matter, Blana Bucegi, 2014-2017
Specification Technological variants indexDifference
Semnif.Differences limit
DL% Value
Crude protein
content
% CP
b1- Without liming 8,46 100Control
plot DL 5% = 0,75
DL 1% = 1,24
DL 0,1% = 2,31b2- Liming 4 t CaO/ha 10,21 121 1,75 **
Fiber content
% crude fibre
b1- Without liming 37,2 100Control
plot DL 5% = 0,56
DL 1% = 0,93
DL 0,1% = 1,74b2- Liming 4 t CaO/ha 36,2 97 - 1,0 oo
Dry-matter
digestibility
DMD
b1- Without liming 51,60 100Control
plot DL 5% = 1,84
DL 1% = 3,04
DL 0,1% = 5,69b2- Liming 4 t CaO/ha 54,26 105 2,66 *
Organic matter
digestibility
OMD
b1- Without liming 48,36 100Control
plot DL 5% = 1,88
DL 1% = 3,12
DL 0,1%= 5,83b2- Liming 4 t CaO/ha 51,18 106 3,0 *
The influence of liming on the main quality indicators at
feed samples from subalpine meadows, Blana Bucegi, 2011-2017
* = significant positive difference; **= distinctly significant positive difference; oo = distinctly significant negative difference
The surface on which it is located is demonstrative
batches is 2430 m2 (54 m x 45 m) and the combination of
improvement factors is:
Factor 1 – control worthless vegetation
(mulcher processing), with graduations:
1.1 – without mulching – control plot
1.2 – with mulching + overseeding
Factor 2 – Fertilization and liming, with
graduations :
2.1 – without fertilization
2.2 – paddocking 1 cow /5 mp for 5 nights
2.3 – paddocking 1 cow /5 mp for 5 nights +
liming5 t/ha CaO
2.4 – fertilization with N100P50K50 + liming 5
t/ha CaO.
C.3. ” Improving subalpine Nardus stricta grassland
Invaded by vegetable origin mounds (marghile)”
Aspect during the execution of the mowing leveling works,
Blana Bucegi, 27.06. 2016
Aspect regarding to install valuable species after
the action of overseeding, Blana Bucegi, 14.06.2017
Species ICVariants of improvement
1.1 Cp. 1.2 1.3 1.4 2.1 2.2 2.3 2.4
Vegetation cover (%) 100 100 100 100 75 100 100 100
Total grasses (PC): 80 60 57 63 50 60 50 57
Nardus stricta 0 40 12 10 20 25 5 - 10
Festuca nigrescens 3 + 4 6 5 1 8 3 12
Festuca ovina 1 8 4 3 3 - 1 2
Agrostis rupestris 1 12 5 3 5 5 2 + 5
Agrostis capillaris 3 - 5 5 8 5 3 1 7
Phleum alpinum 2 + 7 4 9 6 2 3 7
Poa media 1 17 7 5 4 - 3 3 4
Poa pratensis 4 - 5 2 - - 8 3 1
Poa annua 3 - 5 3 3 - 5 + +
Anthoxanthum odoratum 1 + + + 2 3 + - -
Deschampsia caespitosa 0 - - - - + 1 +
Deschampsia flexuosa 0 + 3 1 4 5 + - +
Dactilis glomerata (sem.) 5 - - - - - 1 +
Fectuca pratensis (sem.) 5 - + - - 2 6 1
Phleum pratense (sem.) 5 3 15 - - 20 25 8
Lolium perenne (sem.) 5 - - - - 2 3 +
Total legumes 8 20 33 12 10 30 40 18
Trifolium repens 4 8 20 30 12 10 30 35 18
Trifolium pratense 4 - - 1 - - + 3 -
Lotus corniculatus 4 - + 2 + - + 2 +
Other families total 12 20 10 25 15 10 10 25
Potentilla ternata 0 4 2 1 2 2 2 1 3
Ligusticum mutellina 3 7 3 2 3 6 + + 4
Ranunculus montanus 0 + 3 2 2 2 1 2 1
Polygonum bistorta 1 - 5 3 9 1 2 1 12
Hieracium aurantiacum 0 + 1 + 2 + + + 1
Viola declinata 0 + 2 + 3 1 + 1 1
Taraxacum officinale 2 - 1 1 - - 1 1 -
Alchillea millefolium 2 - 1 1 - - 2 1 -
Geum montanum 0 + 1 + 2 1 - + 1
Alchemilla vulgaris 2 + + + 2 1 1 1 1
Campanula Sp. 0 1 + + 1 1 2 1
Rumex. Sp. 0 - + + - - + + -
Cerastium. Sp. 0 + + + + + + + +
The floristic composition for the meadows improved by surface means(mulching, fertilization, liming), Blana – Bucegi, 2018
Legend: PC= participation in grassy
compositiont (%)
IC= forage quality index
Comments:
Forage quality index (IC) is noted with:
values from 0 to 5 as follows:
5 = excellent; 4 = very good; 3 = good;
2 = medium ; 1 = low ; 0 = worthless
Pastoral value (VP) is calculated
according to the formula:
VP = ΣPC (%) x IC / 5
Estimating pastoral value is done on the
following way:
0-5 - degraded grassland; 15-25 - low;
25-50 - medium; 50-75 - good,
75-100 - very good
Aspect of the vegetation of grassland before applying
the improvement measures, Blana Bucegi, 03.06.2016
Aspect concerning vegetation og grasland after applying
the measures to improve, Blana Bucegi, 12.07.2018
The demonstrative lot has an area of 2520 m2 and includes
variants for combating worthless woody vegetation by mulching
completed with fertilization mode. The placement was done in
subdivided blocks with three repetitions and the following
assignment:
Factor 1 – combating worthless vegetation (mucher
processing), with graduations:
1.1 – without mulching– control plot
1.2 – with mulching
Factor 2 - Fertilization, with graduations:
2.1 – without fertilization
2.2 – fertilization with N100P50K50
2.3 – organic fertilizing with manure 20t/ha
Aspect of vegetation before applying improvement measures,
Podul Sohodolului, Râșnov, (foto 25.04.2017)
C.4. Demonstrative lot for combating worthless woody vegetation,
Râșnov – Podul Sohodolului
Species ICVariants of improvement
1.1 Cp 1.2 1.3 2.1 2.2 2.3
Grasses 67 70 57 72 68 68
Legumes + 4 14 5 12 16
Trifolium repens 4 + 2 10 4 8 11
Trifolium pratense 4 + 1 2 1 3 2
Lotus corniculatus 4 - 1 1 + 1 2
Vicia sp. 3 + + 1 + - 1
Other families 20 14 17 23 20 16
Juncus tenuis 0 15 7 6 10 8 6
Achillea millefolium 2 + 1 2 1 3 2
Ranunculus repens 0 1 3 2 1 1 +
Daucus carota 2 + 1 1 1 1 1
Galium cruciata 0 2 + 1 1 1 1
Prunella vulgatris 0 + + 1 1 1 +
Leontodon autumnale 1 1 1 1 3 1 3
Cirsium vulgare 0 + - + + + -
Carduus acanthoides 0 - + - - + +
Mentha piperita 0 + + + 2 + +
Hypericum
maculatum
0 1 + ++ + -
Taraxacum officinale 2 - - 1 + 1 2
Bellis perennis 1 + + + + + +
Plantago lanceolata 2 + 1 1 2 1 1
Juncus buffonius 0 + + 1 + 1 +
Rumex acetosella 0 + + + 1 1 +
Shrubs 13 12 12 - - -
Crataegus monogyna 13 10 11 - - -
Rosa canina + 2 1 - - -
PASTORAL
VALUE28 43 46 39 47 56
% in relation to CP 100 154 164 139 168 200
Botanical composition of the meadows from demonstrative lot for combating
worthless woody vegetation, Râșnov –Podul Sohodolului, 2018
Without
fertilization
Organic
fertilization
(2017)
Without
mulching
Mulching
(2017)
Details of the influence of technologies for combating worthless woody vegetation
by surface measures, Podul Sohodolului – Râșnov, 2018
C.5. ” Use of subalpine improved grassland with dairy cows, Blana – Bucegi”
In a modern conception the results of grassland improvement methods are expressed more frequently by
productions from animals maintained in these areas. In this regard, at Research Base for Mountain Grassland
Blana – Bucegi are conducted researches through which to express in milk production the efficiency of
improvement methods for degraded Nardus stricta grassland.
Variants of the experience:
1. Plot (grup) Ac: Natural pasture (nardet) fertilized with chemical fertilizers as
follows:
- 200 kg /ha N + 100 kg /ha P2O5 +100 kg/ha K2O in the year 2000
- 150 kg /ha N + 75 kg /ha P2O5 +75 kg/ha K2O in the year 2001
- 100 kg /ha N + 50 kg /ha P2O5 +50 kg/ha K2O in the year 2002
- 150 kg /ha N + 100 kg /ha P2O5 +100 kg/ha K2O in the year 2010
- 100 kg /ha N in the year 2011
- 50 kg /ha N in the year 2012
- 150 kg /ha N + 100 kg /ha P2O5 +100 kg/ha K2O in the year 2014
- 100 kg /ha N in the year 2015
- 50 kg /ha N in the year 2016
2. Plot (grup) B: Natural pasture (nardet) chemically fertilized during the period
1996-1998 with 150 kg /ha N + 75 kg /ha P2O5 +75 kg/ha K2O, then paddocked with
cows in years 2004, 2010 and 2016.
3. Plot (grup) C: Natural pasture (nardet), limed at 2/3 from Ah în 1995, chemically
fertilized during the period 1996-1998 with 150 kg /ha N + 75 kg /ha P2O5 +75 kg/ha
K2O, then paddocked in years 2003, 2009 și 2015
Before or immediately after paddocking with cows superphosphate were applied, at
a dose of 100 kg/ha P2O5.
4. Plot (grup) T: natural pasture (nardet) used rationally for 30 years located inside
of the experimental field from Research Base for Mountain Grassland Blana
Bucegi.
Effect of grassland improvement treatments on dry matter production,
at experience with cows milk, Blana Bucegi 2016 - 2018
Variant Average yield of DM Difference
t/ha
Semnif.
t/ha %
Ac 3,60 170 1,48 **
B 3,52 166 1,40 *
C 3,07 145 0,95 *
T 2,12 100 mt
DL 5% = 0,82 t/ha DL 1% = 1,11 DL 0,1% = 1,47
Production of cow's milk, average on day and grazing season,
Blana – Bucegi, 2016-2018
SpecificationYears of production
Mean2016 2017 2018
Grazing season length (days) 107 92 92 97
Av
era
ge
mil
kp
rod
(l)
Group Ac(4 UVM/ha)
daily 9,80 11,15 11,10 10,68
per season 4194 4102 4084 4127
Group B(4 UVM/ha)
dailytârlire
11,19 10,00 10,60
per season 4118 3680 3899
Group C(4 UVM/ha)
daily 11,39 12,22 11,26 11,62
per season 4875 4496 4145 4505
Group T(1,5 UVM/ha)
daily 8,60 10,55 10,56 9,90
per season 1381 1456 1457 1431
Total daily 10,28 11,28 11,58 11,05
per season 3483 3501 3597 3527
Influence of subalpine grassland improvement factors on fat and protein content in cow's milk, Blana Bucegi. 2016 -2018
VariantFat content Difference
Semnif.g/100 g % g/100 g
T 3,45 100 Control
C 3,67 106 0,22 **
B 3,47 101 0,02
Ac 3,68 107 0,23 **
DL 5% = 0,20; DL 1% = 0,26; DL 0,1% = 0,33
VariantCrude protein content Difference
Semnif.g/100 g % g/100 g
T 3,31 100 Control
C 3,39 102 0,08 **
B 3,39 102 0,08 **
Ac 3,37 102 0,06 *
DL 5% = 0,05; DL 1% = 0,06; DL 0,1% = 0,08
D - Brochures and flyers published
Within the project a number of 3 brochures containing the main technological measures for the improvement of
degraded meadows through minimum measures were published and published.
Two of these publications were also registered with an ISBN, respectively:
IMPROVING BY SURFACE MEASURES WITH MINIMUM INPUTS OF DEGRADED GRASSLAND,
Authors - Blaj Vasile Adrian, Dragomir Neculai, Mocanu Vasile, Marușca Teodor, Ene Tudor Adrian, Ichim Emil,
Editura Capolavoro, 2018, (273 copies);
• LOWLAND GRASSLAND (The causes of the degradation of vegetation and technological measures to
improve), Authors - Dragomir Neculai, Vasile Adrian Blaj, Teodor Marușca, Vasile Mocanu, Marinel Horablaga,
Dorin Rechițean, Marcela Dragoș, Monica Tod, Tudor Ene - Editura Artpress, 2018 (150 copies).
• The third brochure is entitled ” Technological solutions and technical means of improvement with minimal
inputs of permanent degraded meadows by surface measures from the hill"and it was multiplied by a
specialized unit from the city of Vaslui.
Presentation and promotion flyer for
grassland leveling equipment
SCIENTIFIC COMMUNICATIONS IN COUNTRY
CONTRIBUTIONS TO IMPROVE BY PADDOCKING WITH CATTLE OF SUBALPINE GRASSLAND FROM BUCEGI MOUNTAIN
Sesiunea Științifică de Toamnă (22-24 septembrie, 2016) a Academiei Oamenilor de Știință din România, Durău-Neamț
V. A. Blaj (comunicare), T. Marușca, Andreea C. Andreoiu, Marcela M. Dragos, P. M. Zevedei,
LONGEVITY OF RESEEDED GRASS SPECIES USED FOR RESTORING THE DEGRADED SUBALPINE MEADOWS
Sesiunea Științifică de Toamnă (22-24 septembrie 2016) a Academiei Oamenilor de Știință din România, Durău-Neamț
T. Marușca, V. A. Blaj (comunicare), V. Mocanu
CONTRIBUȚII PRIVIND STABILIREA UNOR INDICI DE PRODUCTIVITATE PENTRU LAPTELE DE VACĂ PRODUS PE PĂȘUNILE
MONTANE DIN CARPAȚI
Conferința Națională Științifică a Academiei Oamenilor de Știință din România, Cercetarea științifică în serviciul dezvoltării durabile, 20-22 septembrie,
2018, Târgoviște,
T. Marușca (comunicare), V. A. Blaj, V. Mocanu
SCIENTIFIC COMMUNICATION ABROAD
THE LONG-TERM EFFECT ON COW’S MILK QUALITY OF METHODS FOR IMPROVING THE SUBALPINE GRASSLANDS
19th Symposium of the European Grassland Federation, ” Grassland resources for extensive farming systems in marginal lands: major drivers and future
scenarios” Alghero, Italy 7-10 May 2017
Blaj, V. A. (comunicare), Marusca, T., Andreoiu, A. C., Mocanu, V.
LONG TERM INFLUENCE OF BOTANICAL COMPOSITION OF ALPINE PASTURES ON COW MILK PRODUCTION
27th General Meeting of the European Grassland Federation, EGF, Cork, Ireland,17-21 iunie,2018
T. Marușca, V. A. Blaj (comunicare), V. Mocanu, Andreea Andreoiu, P.M. Zevedei
TEMPORARY GRASSLAND – AN OPTIMAL ALTERNATIVE IN CROP ROTATION
27th General Meeting of the European Grassland Federation, EGF, Cork, Ireland,17-21 iunie,2018
V. Mocanu (comunicare), T.A. Ene, T. Marușca, V. A. Blaj, Andreea Andreoiu, Victoria Mocanu
E – Scientific communications and published works
WORKS PUBLISHED IN COUNTRY
CONTRIBUTIONS TO IMPROVE BY PADDOCKING WITH CATTLE OF SUBALPINE GRASSLAND FROM BUCEGI MOUNTAIN
Editura Academiei Oamenilor de Știință din România, București, 2016, (Volume 5, Number 2), PRINT ISSN 2069 – 1149, ONLINE ISSN 2344 – 2085
V. A. Blaj, T. Marușca, Andreea C. Andreoiu, Marcela M. Dragos, P. M. Zevedei
LONGEVITY OF RESEEDED GRASS SPECIES USED FOR RESTORING THE DEGRADED SUBALPINE MEADOWS
Editura academiei oamenilor de știință din România, București, 2016, (Volume 5, Number 2), PRINT ISSN 2069 – 1149, ONLINE ISSN 2344 – 2085
T. Marușca, V. A. Blaj, V. Mocanu
WORKS PUBLISHED ABROAD
AN EFFICIENT SYSTEM OF ORGANIC FARMING ON MOUNTAIN GRASSLANDS FROM CARPATHIAN
Journal of Mountain Agriculture on the Balkans, vol. 19, 3, (42-52), TROYAN, BULGARIA, 2016, ISSN 1311-0489
T. Marușca, V. A. Blaj, V. Mocanu, T.A. Ene, Andreea Andreoiu, Marcela Dragoș, P. M. Zevedei
THE LONG-TERM EFFECT ON COW’S MILK QUALITY OF METHODS FOR IMPROVING THE SUBALPINE GRASSLANDS
Proceedings of the 19 th Symposium of the European Grassland Federation, Volume 22 Grassland Science in Europe, Pag. 109-111, 7-10 May, Alghero,
Sardinia, Italy, 2017, ISBN 978-88-901771-9-4,
V.A. Blaj, T. Marușca, Andreea Andreoiu, V. Mocanu
LONG TERM INFLUENCE OF BOTANICAL COMPOSITION OF ALPINE PASTURES ON COW MILK PRODUCTION
Proceedings of the 27th General Meeting of the European Grassland Federation, EGF, Volume 23, Pp. 283-285, Cork, Ireland, 17-21 iunie, Book of
abstracts, Vol. 12 issue 1, 2018, ISBN 978-1-84170-643-6
T. Marușca, V. A. Blaj, V. Mocanu, Andreea Andreoiu, P.M. Zevedei
TEMPORARY GRASSLAND – AN OPTIMAL ALTERNATIVE IN CROP ROTATION
Proceedings of the 27th General Meeting of the European Grassland Federation, EGF, Volume 23, Pp. 996-998, Cork, Ireland,17-21 iunie, Book of
abstracts Vol. 12 issue 1, 2018, ISBN 978-1-84170-643-6
V. Mocanu, T.A. Ene, T. Marușca, V. A. Blaj, Andreea Andreoiu, Victoria Mocanu